Showing 102 AI jobs in Atlanta
Data Science Manager, Pricing Analytics (Deep Learning)
30309 Midtown Atlanta, Georgia
Home Depot
Posted 3 days ago
Job Viewed
Job Description
**Position Purpose:**
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills.
This team works with forecasting possible outcomes of price and promotion actions at different levels, including AI solutions, and would need to be Proficient in deep learning and forecasting techniques.
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
**Key Responsibilities:**
+ 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments
+ 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts
+ 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionization are leveraged
+ 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management
**Direct Manager/Direct Reports:**
+ This position typically reports to Senior Manager or above
+ This position has Direct Reports & manages programs
**Travel Requirements:**
+ Typically requires overnight travel 5% to 20% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
**Preferred Qualifications:**
+ Experience taking a deep learning solution from end to end
+ Previous people or project team management experience
+ 9+ years of experience in business intelligence and analytics
+ Expertise in predictive modeling, data mining and data analysis
+ Mastery running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Mastery utilizing statistical techniques to identify key insights that help solve business problems
+ Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Demonstrated proficiency in predictive modeling, data mining and data analysis
+ Experience managing and growing team members in a professional setting
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 8
**Competencies:**
+ Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
+ Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
+ Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Develops Talent: Developing people to meet both their career goals and the organization's goals
+ Directs Work: Provides direction, delegating and removing obstacles to get work done
+ Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
+ Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
+ Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
+ Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
+ Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
+ Persuades: Using compelling arguments to gain the support and commitment of others
+ Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
_Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit_ _ _._ We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. - $130,000.00 - $225,000.00
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills.
This team works with forecasting possible outcomes of price and promotion actions at different levels, including AI solutions, and would need to be Proficient in deep learning and forecasting techniques.
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
**Key Responsibilities:**
+ 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments
+ 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts
+ 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionization are leveraged
+ 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management
**Direct Manager/Direct Reports:**
+ This position typically reports to Senior Manager or above
+ This position has Direct Reports & manages programs
**Travel Requirements:**
+ Typically requires overnight travel 5% to 20% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
**Preferred Qualifications:**
+ Experience taking a deep learning solution from end to end
+ Previous people or project team management experience
+ 9+ years of experience in business intelligence and analytics
+ Expertise in predictive modeling, data mining and data analysis
+ Mastery running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Mastery utilizing statistical techniques to identify key insights that help solve business problems
+ Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Demonstrated proficiency in predictive modeling, data mining and data analysis
+ Experience managing and growing team members in a professional setting
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 8
**Competencies:**
+ Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
+ Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
+ Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Develops Talent: Developing people to meet both their career goals and the organization's goals
+ Directs Work: Provides direction, delegating and removing obstacles to get work done
+ Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
+ Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
+ Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
+ Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
+ Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
+ Persuades: Using compelling arguments to gain the support and commitment of others
+ Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
_Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit_ _ _._ We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. - $130,000.00 - $225,000.00
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0
VP, Data Science
30309 Midtown Atlanta, Georgia
Waystar
Posted 2 days ago
Job Viewed
Job Description
**ABOUT THIS POSITION**
Waystar is a market-leading provider of cloud-based healthcare payments software. Our mission-critical platform simplifies the complex revenue cycle for providers, enabling them to get paid faster and more accurately, and focus on patient care. We process billions of transactions annually, leveraging a massive dataset of claims, remittances, and patient data to drive outcomes. With Waystar AltitudeAI, we are at the forefront of applying AI, generative AI, and advanced automation to transform healthcare finance, reduce administrative burden, and achieve peak financial performance for our clients.
**WHAT YOU'LL DO**
As the VP of Data Science, you will be a strategic and technical leader reporting directly to the SVP of Data Science + Analytics. Your primary responsibility will be to establish and execute the data science strategy that underpins the evolution of the Waystar AltitudeAI platform. This role demands a visionary who can lead a world-class team, driving innovation to solve the most critical challenges in healthcare revenue cycle management (RCM)-from preventing denials and optimizing prior authorizations to delivering transparent patient financial experiences. You must possess deep technical expertise in machine learning, including foundation models, and have consistently delivered production-grade, highly available solutions that yield quantifiable improvements in customer outcomes in complex, regulated environments.
**What You'll Do**
**Strategic Leadership & Healthcare Innovation**
+ Develop and champion a comprehensive data science and ML strategy that directly translates into new product capabilities and significant business value for Waystar and its clients. Focus on using data to predict, prevent, and automate RCM workflows.
+ Establish and steward a portfolio of model types (e.g., classification, regression, ranking, forecasting, NLP/LLMs, anomaly detection) that address both clinical and financial objectives
+ Integrate heterogeneous model outputs (clinical insights, operational predictions, financial risk scores) into an integrated, governed enterprise data set that supports analytics, product experiences, and downstream decisioning.
+ Collaborate closely with product, engineering, and commercial leaders to embed data science and ML into core platform offerings, ensuring technical initiatives align with market needs and HIPAA/security compliance.
+ Spearhead the research and deployment of cutting-edge AI and Generative AI solutions (e.g., using LLMs for policy document interpretation, predictive modeling for claim denial rates, intelligent task prioritization) to create differentiated, proprietary technology.
+ Act as a thought leader with analysts, customers, and prospects; communicate our approach, differentiation, and evidence of impact.
**Leading Data Science Teams & MLOps**
+ Attract, mentor, and scale a high-performing, geographically distributed team of Data Scientists and Machine Learning Engineers, fostering a culture of technical excellence, accountability, and continuous learning.
+ Define and enforce best practices for the entire machine learning lifecycle in a regulated environment, including robust model governance, versioning, continuous monitoring, and drift detection to ensure accuracy and compliance of all production models.
+ Ensure the team operates with the highest standards of data governance, privacy (HIPAA), and algorithmic fairness, specifically addressing bias and transparency in models impacting provider finances and patient care.
**Technical Expertise in Machine Learning Principles and Healthcare Data**
+ Act as the ultimate technical authority on machine learning principles, statistical rigor, and large-scale data analysis within the company. Provide hands-on guidance on complex projects involving unstructured healthcare data.
+ Demonstrated experience and deep theoretical understanding of Foundation Models (e.g., LLMs, VLMs), including model selection, fine-tuning techniques (e.g., LoRA, QLoRA), Retrieval-Augmented Generation (RAG) implementation, and prompt engineering for generating accurate, context-aware outputs in a healthcare setting (e.g., summarizing policy documents, drafting claim appeal responses).
+ Demonstrated expertise in advanced machine learning algorithms, including XGBoost, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer architectures.
+ Deep familiarity with natural language processing (NLP) approaches, including concept extraction, human language understanding, and summarization-particularly in clinical and healthcare contexts.
+ Working knowledge of Python, PyTorch, and TensorFlow for developing and scaling machine learning solutions.
+ Direct the technical architecture and tools used for all data science initiatives, leveraging cloud-native solutions (AWS, GCP) and distributed computing frameworks to handle Waystar's massive, multi-petabyte datasets.
+ Oversee the design of rigorous A/B testing and experimentation frameworks to accurately measure the clinical and financial impact of deployed ML models on client RCM performance.
**WHAT YOU'LL NEED**
+ Master's or Ph.D. in Computer Science, Statistics, Engineering, or a highly quantitative field.
+ 12+ years of progressive experience in data science, with at least 5-7 years in a senior leadership role (VP or SVP level) managing global, production-focused ML/AI teams.
+ Deep, hands-on expertise in the full machine learning lifecycle. Proven experience with advanced techniques like Deep Learning, NLP/Generative AI, and predictive time-series modeling, specifically applied to financial, claims, or clinical data.
+ Demonstrable success in translating complex business challenges into clear, deliverable, and high-ROI data science roadmaps.
+ Proven track record of successfully applying data science to both clinical and financial/RCM data (e.g., EHR data, claims, remittances) to drive measurable outcomes is preferred.
**ABOUT WAYSTAR**
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar ( on Twitter.
**WAYSTAR PERKS**
+ Competitive total rewards (base salary + bonus, if applicable)
+ Customizable benefits package (3 medical plans with Health Saving Account company match)
+ We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
+ Paid parental leave (including maternity + paternity leave)
+ Education assistance opportunities and free LinkedIn Learning access
+ Free mental health and family planning programs, including adoption assistance and fertility support
+ 401(K) program with company match
+ Pet insurance
+ Employee resource groups
Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
**Job Category:** Technology/Engineering
**Job Type:** Full time
**Req ID:** R2830
Waystar is a market-leading provider of cloud-based healthcare payments software. Our mission-critical platform simplifies the complex revenue cycle for providers, enabling them to get paid faster and more accurately, and focus on patient care. We process billions of transactions annually, leveraging a massive dataset of claims, remittances, and patient data to drive outcomes. With Waystar AltitudeAI, we are at the forefront of applying AI, generative AI, and advanced automation to transform healthcare finance, reduce administrative burden, and achieve peak financial performance for our clients.
**WHAT YOU'LL DO**
As the VP of Data Science, you will be a strategic and technical leader reporting directly to the SVP of Data Science + Analytics. Your primary responsibility will be to establish and execute the data science strategy that underpins the evolution of the Waystar AltitudeAI platform. This role demands a visionary who can lead a world-class team, driving innovation to solve the most critical challenges in healthcare revenue cycle management (RCM)-from preventing denials and optimizing prior authorizations to delivering transparent patient financial experiences. You must possess deep technical expertise in machine learning, including foundation models, and have consistently delivered production-grade, highly available solutions that yield quantifiable improvements in customer outcomes in complex, regulated environments.
**What You'll Do**
**Strategic Leadership & Healthcare Innovation**
+ Develop and champion a comprehensive data science and ML strategy that directly translates into new product capabilities and significant business value for Waystar and its clients. Focus on using data to predict, prevent, and automate RCM workflows.
+ Establish and steward a portfolio of model types (e.g., classification, regression, ranking, forecasting, NLP/LLMs, anomaly detection) that address both clinical and financial objectives
+ Integrate heterogeneous model outputs (clinical insights, operational predictions, financial risk scores) into an integrated, governed enterprise data set that supports analytics, product experiences, and downstream decisioning.
+ Collaborate closely with product, engineering, and commercial leaders to embed data science and ML into core platform offerings, ensuring technical initiatives align with market needs and HIPAA/security compliance.
+ Spearhead the research and deployment of cutting-edge AI and Generative AI solutions (e.g., using LLMs for policy document interpretation, predictive modeling for claim denial rates, intelligent task prioritization) to create differentiated, proprietary technology.
+ Act as a thought leader with analysts, customers, and prospects; communicate our approach, differentiation, and evidence of impact.
**Leading Data Science Teams & MLOps**
+ Attract, mentor, and scale a high-performing, geographically distributed team of Data Scientists and Machine Learning Engineers, fostering a culture of technical excellence, accountability, and continuous learning.
+ Define and enforce best practices for the entire machine learning lifecycle in a regulated environment, including robust model governance, versioning, continuous monitoring, and drift detection to ensure accuracy and compliance of all production models.
+ Ensure the team operates with the highest standards of data governance, privacy (HIPAA), and algorithmic fairness, specifically addressing bias and transparency in models impacting provider finances and patient care.
**Technical Expertise in Machine Learning Principles and Healthcare Data**
+ Act as the ultimate technical authority on machine learning principles, statistical rigor, and large-scale data analysis within the company. Provide hands-on guidance on complex projects involving unstructured healthcare data.
+ Demonstrated experience and deep theoretical understanding of Foundation Models (e.g., LLMs, VLMs), including model selection, fine-tuning techniques (e.g., LoRA, QLoRA), Retrieval-Augmented Generation (RAG) implementation, and prompt engineering for generating accurate, context-aware outputs in a healthcare setting (e.g., summarizing policy documents, drafting claim appeal responses).
+ Demonstrated expertise in advanced machine learning algorithms, including XGBoost, Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), and Transformer architectures.
+ Deep familiarity with natural language processing (NLP) approaches, including concept extraction, human language understanding, and summarization-particularly in clinical and healthcare contexts.
+ Working knowledge of Python, PyTorch, and TensorFlow for developing and scaling machine learning solutions.
+ Direct the technical architecture and tools used for all data science initiatives, leveraging cloud-native solutions (AWS, GCP) and distributed computing frameworks to handle Waystar's massive, multi-petabyte datasets.
+ Oversee the design of rigorous A/B testing and experimentation frameworks to accurately measure the clinical and financial impact of deployed ML models on client RCM performance.
**WHAT YOU'LL NEED**
+ Master's or Ph.D. in Computer Science, Statistics, Engineering, or a highly quantitative field.
+ 12+ years of progressive experience in data science, with at least 5-7 years in a senior leadership role (VP or SVP level) managing global, production-focused ML/AI teams.
+ Deep, hands-on expertise in the full machine learning lifecycle. Proven experience with advanced techniques like Deep Learning, NLP/Generative AI, and predictive time-series modeling, specifically applied to financial, claims, or clinical data.
+ Demonstrable success in translating complex business challenges into clear, deliverable, and high-ROI data science roadmaps.
+ Proven track record of successfully applying data science to both clinical and financial/RCM data (e.g., EHR data, claims, remittances) to drive measurable outcomes is preferred.
**ABOUT WAYSTAR**
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar ( on Twitter.
**WAYSTAR PERKS**
+ Competitive total rewards (base salary + bonus, if applicable)
+ Customizable benefits package (3 medical plans with Health Saving Account company match)
+ We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
+ Paid parental leave (including maternity + paternity leave)
+ Education assistance opportunities and free LinkedIn Learning access
+ Free mental health and family planning programs, including adoption assistance and fertility support
+ 401(K) program with company match
+ Pet insurance
+ Employee resource groups
Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
**Job Category:** Technology/Engineering
**Job Type:** Full time
**Req ID:** R2830
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View Now
1
Data Science Manager
30309 Midtown Atlanta, Georgia
Home Depot
Posted 3 days ago
Job Viewed
Job Description
**Position Purpose:**
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
**Key Responsibilities:**
+ 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments
+ 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts
+ 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management
+ 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged
**Direct Manager/Direct Reports:**
+ This position typically reports to Senior Manager or above
+ This position has Direct Reports & manages programs
**Travel Requirements:**
+ Typically requires overnight travel 5% to 20% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
**Preferred Qualifications:**
+ 9+ years of experience in business intelligence and analytics
+ Previous people or project team management experience
+ Expertise in predictive modeling, data mining and data analysis
+ Mastery running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Mastery utilizing statistical techniques to identify key insights that help solve business problems
+ Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Demonstrated proficiency in predictive modeling, data mining and data analysis
+ Experience managing and growing team members in a professional setting
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 8
**Preferred Years of Work Experience:**
+ No additional years of experience
**Minimum Leadership Experience:**
+ None
**Preferred Leadership Experience:**
+ None
**Certifications:**
+ None
**Competencies:**
+ Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
+ Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
+ Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Develops Talent: Developing people to meet both their career goals and the organization's goals
+ Directs Work: Provides direction, delegating and removing obstacles to get work done
+ Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
+ Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
+ Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
+ Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
+ Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
+ Persuades: Using compelling arguments to gain the support and commitment of others
+ Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. - $0.00 - $0.00
The Data Science Manager is responsible for leading a team of data scientists (individual contributors), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role leads overall programs, maximizing resources, partnering with project teams and business partners, and supports problem solving efforts. Data Science Managers provide leadership, mentoring, and coaching to team members, along with supporting their development of business and technical skills . Based on the specific data science team, this role would need to be Proficient in one or more data science specializations, such as optimization, computer vision, recommendation, search or NLP.
As a Data Science Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to collaborate with other Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
**Key Responsibilities:**
+ 40% People Management & Team Leadership - Provide leadership, mentorship and coaching to Data Scientists (individual contributors) and evaluate performance, execution, and contribution; Attract, retain and develop top talent to build an effective and high performing team; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Ensure appropriate processes and job-specific requirements are properly documented; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Manage resources effectively to align with strategic initiatives and business needs; Foster collaboration with team members to develop a supportive and engaged team; Support team in the design and development of algorithms and models to use against large datasets to create business insights; Drive team's results and celebrate accomplishments
+ 25% Project Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts
+ 15% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to establish high level strategy and optimize talent management
+ 20% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged
**Direct Manager/Direct Reports:**
+ This position typically reports to Senior Manager or above
+ This position has Direct Reports & manages programs
**Travel Requirements:**
+ Typically requires overnight travel 5% to 20% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
**Preferred Qualifications:**
+ 9+ years of experience in business intelligence and analytics
+ Previous people or project team management experience
+ Expertise in predictive modeling, data mining and data analysis
+ Mastery running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Mastery utilizing statistical techniques to identify key insights that help solve business problems
+ Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Demonstrated proficiency in predictive modeling, data mining and data analysis
+ Experience managing and growing team members in a professional setting
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 8
**Preferred Years of Work Experience:**
+ No additional years of experience
**Minimum Leadership Experience:**
+ None
**Preferred Leadership Experience:**
+ None
**Certifications:**
+ None
**Competencies:**
+ Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
+ Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
+ Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Develops Talent: Developing people to meet both their career goals and the organization's goals
+ Directs Work: Provides direction, delegating and removing obstacles to get work done
+ Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
+ Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
+ Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
+ Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
+ Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
+ Persuades: Using compelling arguments to gain the support and commitment of others
+ Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. - $0.00 - $0.00
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2
Data Science Manager, GenAI, Strategic Analytics - Data Science
30309 Midtown Atlanta, Georgia
Deloitte
Posted 3 days ago
Job Viewed
Job Description
Deloitte is a leader in GenAI products and solutions. We are looking for a highly skilled and experienced Manager to drive the ground-breaking GenAI products we are creating within Strategic Analytics. The ideal candidate will have a strong background in the design and implementation of GenAI models and agents, as well as an expertise in building and maintaining front-end UIs. Your work will be integral to deliver on some of the most important priorities happening at Deloitte. If you seek a role that focuses on cutting edge technology, delivers solutions for executive leadership, revolutionizes the future of Finance, and prioritizes professional growth, look no further.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
The team
Strategic Analytics sits within our Finance FP&A organization. We support the firm and business executive leaders along with our counterparts in other financial and operational roles. Our team leverages cloud computing, AI & data science, strategic thinking, and deep firm knowledge to support leadership's most important business decisions. Our insights are integral to driving growth into the future.
GenAI is a top priority for the future of the firm. We are actively building products and solutions that will revolutionize our firm and our clients. The selected candidate would be directly involved in the success of these engagements.
Specific responsibilities and qualifications for the Data Science Manager role are outlined below.
Recruiting for this role ends on Oct 15,, 2025
Work you'll do Core responsibilities:
+ Lead the design, development, and implementation of GenAI models & agents
+ Manage the creation & maintenance of intuitive and engaging UI/UX for analytics tools and applications
+ Develop timelines, milestones, and metrics to effectively plan and execute projects
+ Collaborate with firm & business leaders, other FP&A teams and other key stakeholders on project deliverables and progress
+ Ensure the scalability, reliability, and performance of AI models and analytics platforms
+ Manage and mentor a team of data scientists, AI engineers, and UI/UX designers
+ Translate complex technical concepts and insights to non-technical stakeholders
+ Support and build presentations on our GenAI products & solutions for clients and leadership
+ Develop and implement best practices for AI model development, deployment, and monitoring
Other responsibilities:
+ Collaborate with cross-functional teams to identify new GenAI opportunities to drive business value
+ Drive the strategic vision for AI and analytics within the organization, aligning with overall business goals
+ Stay current with the latest advancements in GenAI, AI/ML, and UI/UX design
+ Automate and streamline projects to increase efficiencies and scalability
+ Support ad-hoc requests and investigations into the data & process that support our GenAI tools
QualificationsRequired:
+ Bachelor's degree in AI / Data Science or a related subject
+ Minimum of 5+ years of relevant experience
+ Limited immigration sponsorship may be available
+ Ability to travel 0-10%, on average, based on the work you do and the clients and industries/sectors you serve
+ Demonstrated accomplishments in the following areas:
+ Advanced understanding of data science coding languages (Python, R, SQL)
+ Experience developing GenAI solutions with LLMs (Llama, ChatGPT)
+ Experience with cloud platforms (Databricks, Microsoft Azure)
+ Experience with visualizations tools (Tableau, Power BI)
+ Advanced in MS Office (Excel, PowerPoint, Outlook, Teams)
+ Implementing complex AI/ML algorithms
+ Strong project management skills
+ Excellent problem-solving skills and the ability to think strategically
+ Strong leadership and team management skills
+ Excellent communication and interpersonal skills
Preferred:
+ Advanced education degree
+ Certifications in GenAI, AI/ML, or UI/UX design
+ Experience with front-end development (HTML, CSS, JavaScript, React)
+ Experience in the financial services or consulting industry
+ Business knowledge on financial and operational data
Information for applicants with a need for accommodation: wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $113,100-$232,300.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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3
Sr. Manager, Data Science
30309 Midtown Atlanta, Georgia
Waystar
Posted 1 day ago
Job Viewed
Job Description
**ABOUT THIS POSITION**
As the Sr Manager, Data Science, you will be a technical and operational leader reporting to the VP of Data Science. Your primary responsibility will be to lead a team of data scientists, driving the development and deployment of innovative data science solutions that support Waystar's AltitudeAI platform and healthcare revenue cycle management (RCM) products. This role requires strong hands-on expertise in machine learning, a passion for mentoring, and the ability to deliver production-grade solutions that improve customer outcomes in a regulated environment.
**WHAT YOU'LL DO**
Team Leadership & Project Execution
+ Lead, mentor, and develop a team of data scientists, fostering a culture of technical excellence, collaboration, and continuous learning.
+ Manage day-to-day operations of data science projects, ensuring timely delivery and alignment with business objectives.
+ Oversee the implementation and monitoring of machine learning models, ensuring accuracy, compliance, and reliability in production settings.
+ Collaborate with product, engineering, and analytics teams to integrate data science solutions into core platform offerings.
Technical Execution & Innovation
+ Apply advanced machine learning techniques (classification, regression, clustering, NLP, LLMs, anomaly detection) to solve business and clinical challenges in healthcare RCM.
+ Develop and maintain robust model governance processes, including versioning, monitoring, and drift detection.
+ Support the evaluation and adoption of new technologies and tools to enhance data science capabilities.
+ Participate in the design and execution of A/B tests and experiments to measure the impact of deployed models.
Collaboration & Communication
+ Communicate technical findings and project status to stakeholders, including product managers and engineering leads.
+ Contribute to the development of technical documentation and best practices for the data science team.
+ Support the team's professional development through coaching, training, and knowledge sharing.
**WHAT YOU'LL NEED**
+ Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related quantitative field.
+ 7+ years of experience in data science or machine learning, with at least 2 years in a leadership or team lead role.
+ Hands-on expertise in the full machine learning lifecycle, including model development, deployment, and monitoring.
+ Experience with deep learning, NLP, and generative AI techniques (e.g., transformers, LLMs) preferred.
+ Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, XGBoost).
+ Experience working with healthcare, financial, or claims data is a plus.
+ Excellent communication and collaboration skills.
**ABOUT WAYSTAR**
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar ( on Twitter.
**WAYSTAR PERKS**
+ Competitive total rewards (base salary + bonus, if applicable)
+ Customizable benefits package (3 medical plans with Health Saving Account company match)
+ We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
+ Paid parental leave (including maternity + paternity leave)
+ Education assistance opportunities and free LinkedIn Learning access
+ Free mental health and family planning programs, including adoption assistance and fertility support
+ 401(K) program with company match
+ Pet insurance
+ Employee resource groups
Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
**Job Category:** Technology/Engineering
**Job Type:** Full time
**Req ID:** R2834
As the Sr Manager, Data Science, you will be a technical and operational leader reporting to the VP of Data Science. Your primary responsibility will be to lead a team of data scientists, driving the development and deployment of innovative data science solutions that support Waystar's AltitudeAI platform and healthcare revenue cycle management (RCM) products. This role requires strong hands-on expertise in machine learning, a passion for mentoring, and the ability to deliver production-grade solutions that improve customer outcomes in a regulated environment.
**WHAT YOU'LL DO**
Team Leadership & Project Execution
+ Lead, mentor, and develop a team of data scientists, fostering a culture of technical excellence, collaboration, and continuous learning.
+ Manage day-to-day operations of data science projects, ensuring timely delivery and alignment with business objectives.
+ Oversee the implementation and monitoring of machine learning models, ensuring accuracy, compliance, and reliability in production settings.
+ Collaborate with product, engineering, and analytics teams to integrate data science solutions into core platform offerings.
Technical Execution & Innovation
+ Apply advanced machine learning techniques (classification, regression, clustering, NLP, LLMs, anomaly detection) to solve business and clinical challenges in healthcare RCM.
+ Develop and maintain robust model governance processes, including versioning, monitoring, and drift detection.
+ Support the evaluation and adoption of new technologies and tools to enhance data science capabilities.
+ Participate in the design and execution of A/B tests and experiments to measure the impact of deployed models.
Collaboration & Communication
+ Communicate technical findings and project status to stakeholders, including product managers and engineering leads.
+ Contribute to the development of technical documentation and best practices for the data science team.
+ Support the team's professional development through coaching, training, and knowledge sharing.
**WHAT YOU'LL NEED**
+ Bachelor's or Master's degree in Computer Science, Statistics, Engineering, or a related quantitative field.
+ 7+ years of experience in data science or machine learning, with at least 2 years in a leadership or team lead role.
+ Hands-on expertise in the full machine learning lifecycle, including model development, deployment, and monitoring.
+ Experience with deep learning, NLP, and generative AI techniques (e.g., transformers, LLMs) preferred.
+ Strong programming skills in Python and familiarity with ML frameworks (PyTorch, TensorFlow, XGBoost).
+ Experience working with healthcare, financial, or claims data is a plus.
+ Excellent communication and collaboration skills.
**ABOUT WAYSTAR**
Through a smart platform and better experience, Waystar helps providers simplify healthcare payments and yield powerful results throughout the complete revenue cycle.
Waystar's healthcare payments platform combines innovative, cloud-based technology, robust data, and unparalleled client support to streamline workflows and improve financials so providers can focus on what matters most: their patients and communities. Waystar is trusted by 1M+ providers, 1K+ hospitals and health systems, and is connected to over 5K commercial and Medicaid/Medicare payers. We are deeply committed to living out our organizational values: honesty; kindness; passion; curiosity; fanatical focus; best work, always; making it happen; and joyful, optimistic & fun.
Waystar products have won multiple Best in KLAS® or Category Leader awards since 2010 and earned multiple #1 rankings from Black Book surveys since 2012. The Waystar platform supports more than 500,000 providers, 1,000 health systems and hospitals, and 5,000 payers and health plans. For more information, visit waystar.com or follow @Waystar ( on Twitter.
**WAYSTAR PERKS**
+ Competitive total rewards (base salary + bonus, if applicable)
+ Customizable benefits package (3 medical plans with Health Saving Account company match)
+ We offer generous paid time off for our non-exempt team members, starting with 3 weeks + 13 paid holidays, including 2 personal floating holidays. We also offer flexible time off for our exempt team members + 13 paid holidays
+ Paid parental leave (including maternity + paternity leave)
+ Education assistance opportunities and free LinkedIn Learning access
+ Free mental health and family planning programs, including adoption assistance and fertility support
+ 401(K) program with company match
+ Pet insurance
+ Employee resource groups
Waystar is proud to be an equal opportunity workplace. We celebrate, value, and support diversity and inclusion. Qualified applicants will receive consideration for employment without regard to race, color, religion, age, sex, national origin, disability status, genetics, marital status, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws.
This applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.
**Job Category:** Technology/Engineering
**Job Type:** Full time
**Req ID:** R2834
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4
Director, Marketing Data Science
30309 Midtown Atlanta, Georgia
Indeed
Posted 3 days ago
Job Viewed
Job Description
**Our Mission**
As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*Comscore, Total Visits, March 2025)
**Day to Day**
At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Director of Data Science to define and drive our data science endeavors for Indeed's Marketing organization. The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams.
Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day.
As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers.
**Responsibilities**
+ Define and oversee the data science roadmap, aligning with broader company goals
+ Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Intercementality testing.
+ Manage teams of data scientists and data engineers, nurturing their growth and ensuring delivery of key projects
+ Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization
+ Collaborate with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences
+ Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements
**Skills/Competencies**
+ Bachelor's Degree in Computer Science, Mathematics, Statistics
+ 10+ years of experience in data science, analytics, or a related field with 5+ years in a leadership role overseeing data science teams
+ A deep understanding of machine learning, statistical modeling, and predictive analytics.
+ Experience with LLMs
+ Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale
+ Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with product teams to drive business growth
+ Experience communicating and influencing product, technical, and business direction across all levels of a large organization
**Salary Range Transparency**
US Remote 204,000 - 296,000 USD per year
Austin Metro Area 204,000 - 296,000 USD per year
NYC Metro Area 224,000 - 324,000 USD per year
Seattle Metro Area 237,000 - 343,000 USD per year
San Francisco Bay Area 244,000 - 354,000 USD per year
**Salary Range Disclaimer**
The base salary range represents the low and high end of the Indeed salary range for this position in the given work location. Actual salaries will vary depending on factors including but not limited to location, experience, and performance. The range(s) listed is just one component of Indeed's total compensation package for employees. Other rewards may include quarterly bonuses, Restricted Stock Units (RSUs), a Paid Time Off policy, and many region-specific benefits.
**Benefits - Health, Work/Life Harmony, & Wellbeing**
We care about what you care about. We have a multitude of benefits to support Indeedians, as well as their pets, kids, and partners including medical, dental, vision, disability and life insurance. Indeedians are able to enroll in our company's 401k plan, as well as an equity-based incentive program. Indeedians will also receive open paid time off, 11 paid holidays a year and up to 26 weeks of paid parental leave. For more information, select your country and learn more about our employee benefits, program, & perks at Opportunities and Accommodations Statement**
Indeed is deeply committed to building a workplace and global community where inclusion is not only valued, but prioritized. We're proud to be an Equal Employment and Affirmative Action employer seeking to create a welcoming and inclusive environment. All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran, or any other non-merit based or legally protected grounds.
Indeed is dedicated to providing reasonable accommodations to qualified individuals with known disabilities to participate in the employment application process. To learn more about requesting an accommodation, please visit In the request for an accommodation, please inform us of the nature of your request and your contact information. If you are requesting accommodation for an interview, please reach out at least one week in advance of your interview.
For more information about our commitment to equal opportunity/affirmative action, please visit our ESG home page ( & Belonging**
Inclusion and belonging are fundamental to our hiring practices and company culture, forming an integral part of our vision for a better world of work. At Indeed, we're committed to the wellbeing of our employees and on a mission to make this the best place to work and thrive. We believe that fostering an inclusive environment where every employee feels respected and accepted benefits everyone, fueling innovation and creativity.
We value diverse experiences, including those who have had prior contact with the criminal legal system. We are committed to providing individuals with criminal records, including formerly incarcerated individuals, a fair chance at employment.
Those with military experience are encouraged to apply. Equivalent expertise demonstrated through a combination of work experience, training, military experience, or education is welcome.
**Indeed's Employee Recruiting Privacy Policy**
Like other employers Indeed uses our own technologies to help us find and attract top talent from around the world. In addition to our site's user and privacy policy found at , we also want to make you aware of our recruitment specific privacy policy found at .
**Agency Disclaimer**
Indeed does not pay placement fees for unsolicited resumes or referrals from non-candidates, including search firms, staffing agencies, professional recruiters, fee-based referral services, and recruiting agencies (each individually, an "Agency"), subject to local laws. An Agency seeking a placement fee must obtain advance written approval from Indeed's internal Talent Acquisition team and execute a fee agreement with Indeed for each job opening before making a referral or submitting a resume for that opening.
**Reference ID:** **46207**
**The deadline to apply to this position is (11/5/2025). Job postings may be extended at the hiring team's discretion based on applicant volume.**
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Reference ID: 46207
As the world's number 1 job site*, our mission is to help people get jobs. We strive to cultivate an inclusive and accessible workplace where all people feel comfortable being themselves. We're looking to grow our teams with more people who share our enthusiasm for innovation and creating the best experience for job seekers.
(*Comscore, Total Visits, March 2025)
**Day to Day**
At Indeed, our mission is to _Help People Get Jobs_ . We are seeking a visionary Director of Data Science to define and drive our data science endeavors for Indeed's Marketing organization. The Marketing Data Science and Business Intelligence (MDSBI) organization partners with Marketing and collaborates across the SMB, Job Seeker, Brand, Enterprise, and Global Marketing teams.
Your role will entail shaping and executing Indeed's AI strategy for Marketing measurement and driving optimal allocation and returns on our Marketing spend. You will guide our organization in pursuing the strategy and, through innovation, make a meaningful impact on the lives of millions of people who use Indeed every day.
As AI technology, Marketing and job markets evolve rapidly, your role will be essential in shaping the future of acquisition for both job seekers and employers.
**Responsibilities**
+ Define and oversee the data science roadmap, aligning with broader company goals
+ Build and improve all components of our Marketing measurement framework including Marketing Mix models, Multi-Touch attribution and Intercementality testing.
+ Manage teams of data scientists and data engineers, nurturing their growth and ensuring delivery of key projects
+ Communicates how campaigns, campaign measurement and business outcomes can be transformed with Machine Learning (ML) and AI across the broad organization
+ Collaborate with cross-functional teams to implement data-driven solutions that enhance user and marketer experiences
+ Foster external partnerships, stay updated with industry trends, and ensure our data practices remain at the forefront of technological advancements
**Skills/Competencies**
+ Bachelor's Degree in Computer Science, Mathematics, Statistics
+ 10+ years of experience in data science, analytics, or a related field with 5+ years in a leadership role overseeing data science teams
+ A deep understanding of machine learning, statistical modeling, and predictive analytics.
+ Experience with LLMs
+ Deep understanding of the complexities and tradeoffs of leveraging/deploying ML/AI at scale
+ Proven ability to translate complex data findings into actionable business strategies and experience in collaborating with product teams to drive business growth
+ Experience communicating and influencing product, technical, and business direction across all levels of a large organization
**Salary Range Transparency**
US Remote 204,000 - 296,000 USD per year
Austin Metro Area 204,000 - 296,000 USD per year
NYC Metro Area 224,000 - 324,000 USD per year
Seattle Metro Area 237,000 - 343,000 USD per year
San Francisco Bay Area 244,000 - 354,000 USD per year
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**Reference ID:** **46207**
**The deadline to apply to this position is (11/5/2025). Job postings may be extended at the hiring team's discretion based on applicant volume.**
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Reference ID: 46207
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5
Sr. Manager Data Science
30309 Midtown Atlanta, Georgia
Home Depot
Posted 3 days ago
Job Viewed
Job Description
**Position Purpose:**
The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
**Key Responsibilities:**
+ 50% People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments
+ 15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs
+ 25% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management
+ 10% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged
**Direct Manager/Direct Reports:**
+ This position reports to Director or above
+ This position has Direct Reports and manages programs
**Travel Requirements:**
+ Typically requires overnight travel 5% to 20% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
+ Demonstrated proficiency in predictive modeling, data mining and data analysis
+ Proficient managing and growing team members in a professional setting
+ Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting
+ Demonstrated experience with translating high level strategy to tactical execution
**Preferred Qualifications:**
+ 11+ years of experience in business intelligence and analytics
+ Previous people or project team management experience
+ Demonstrated expertise in predictive modeling, data mining and data analysis
+ Mastery running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Mastery utilizing statistical techniques to identify key insights that help solve business problems
+ Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Machine Learning experience
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 10
**Preferred Years of Work Experience:**
+ No additional years of experience
**Minimum Leadership Experience:**
+ None
**Preferred Leadership Experience:**
+ None
**Certifications:**
+ None
**Competencies:**
+ Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
+ Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
+ Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Develops Talent: Developing people to meet both their career goals and the organization's goals
+ Directs Work: Provides direction, delegating and removing obstacles to get work done
+ Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
+ Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
+ Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
+ Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
+ Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
+ Persuades: Using compelling arguments to gain the support and commitment of others
+ Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. - $0.00 - $0.00
The Data Science Sr. Manager is responsible for leading a team of data scientists (individual contributors, technical experts, and/or people managers), ensuring that their efforts drive business profitability, increased efficiencies and improved customer experience. This role harmonizes between the continuous drive towards data science research and learning and the needs of the business. As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions. This role is expected to lead the collaboration between Data Science Managers across the organization to align strategies and effectively manage talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
As a Data Science Sr. Manager, you will provide executive summaries to all levels of the organization and leverage your business knowledge and network to identify opportunities to leverage data science solutions . This role is expected to lead collaboration between Data Science Managers across the organization for aligning strategies and effectively managing talent. These responsibilities require effective communication skills, building relationships and partnerships, and leveraging business proficiency to solutions and recommendations.
**Key Responsibilities:**
+ 50% People Management & Team Leadership - Provide leadership, mentorship and coaching to direct reports and evaluate performance, execution, and contribution; Support Data Science Director in establishing a clear vision for the team and influencing reach with business partners; Attract, retain and develop top talent to build an effective and high performing teams; Support team in development of business knowledge and technical skills with clear plans and regular assessment of progress; Develop onboarding and training plan for both technical and soft skills that will ensure high level of capabilities within the team; Foster collaboration and alignment between different data science roles to develop a supportive and engaged team; Ensure best practices and world-class techniques are leveraged in the solutioning for business problems and future team reach; Drive team's results and celebrate accomplishments
+ 15% Program Management - Prioritize and assign projects by striking a balance between a variety of factors, like funding, return on investment, innovative or challenging work, among others; Manage programs for the team to ensure consistency of execution, balance of resources and quality solutions; Collaborate with program managers and business partners to align on objectives and expectations and ensure project teams deliver against them; Serve as escalation point for any issues or difficulties with specific projects; Provide executive updates to leaders at all levels of the organization on program effectiveness, team accomplishments, summary of findings and recommended solution, and explain internal and external impacts; Be a champion and advocate for the team's capabilities, expertise, and needs
+ 25% Strategy & Business Development - Leverage extensive business knowledge and relationships to seek out new business opportunities to leverage data science and advocate for team's skills; Effectively develop trust and collaboration with internal customers and cross-functional teams; Ensure alignment with IT support model, collaboration, tools and governance to enable data scientists to be most effective in executing their roles; Collaborate with other data science managers across the organization to lead the efforts of developing high level strategy and optimizing talent management
+ 10% Technical Exploration & Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Ensure best practices and vision for data analysis and model productionalization are leveraged
**Direct Manager/Direct Reports:**
+ This position reports to Director or above
+ This position has Direct Reports and manages programs
**Travel Requirements:**
+ Typically requires overnight travel 5% to 20% of the time.
**Physical Requirements:**
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
**Working Conditions:**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
**Minimum Qualifications:**
+ Must be eighteen years of age or older.
+ Must be legally permitted to work in the United States.
+ Demonstrated proficiency in predictive modeling, data mining and data analysis
+ Proficient managing and growing team members in a professional setting
+ Proficiency in guiding more junior team members through Data Science fundamentals in a professional setting
+ Demonstrated experience with translating high level strategy to tactical execution
**Preferred Qualifications:**
+ 11+ years of experience in business intelligence and analytics
+ Previous people or project team management experience
+ Demonstrated expertise in predictive modeling, data mining and data analysis
+ Mastery running queries against data (preferably with Google BigQuery or SQL)
+ Proficient with data visualization software (preferably Tableau)
+ Mastery utilizing statistical techniques to identify key insights that help solve business problems
+ Proficient in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP
+ Machine Learning experience
**Minimum Education:**
+ The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.
**Preferred Education:**
+ No additional education
**Minimum Years of Work Experience:**
+ 10
**Preferred Years of Work Experience:**
+ No additional years of experience
**Minimum Leadership Experience:**
+ None
**Preferred Leadership Experience:**
+ None
**Certifications:**
+ None
**Competencies:**
+ Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs
+ Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals
+ Builds Networks: Effectively building formal and informal relationship networks inside and outside the organization
+ Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals
+ Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences
+ Develops Talent: Developing people to meet both their career goals and the organization's goals
+ Directs Work: Provides direction, delegating and removing obstacles to get work done
+ Drives Engagement: Creating an environment where people are motivated to do their best to help the organization achieve its objectives
+ Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action
+ Instills Trust: Gaining the confidence and trust of others through honesty, integrity, and authenticity
+ Interpersonal Savvy: Relating openly and comfortably with diverse groups of people
+ Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics
+ Persuades: Using compelling arguments to gain the support and commitment of others
+ Strategic Mindset: Seeing ahead to future possibilities and translating them into breakthrough strategies
We are an Equal Opportunity Employer and do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state or local protected class. - $0.00 - $0.00
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6
Data Science Intern - Industries
30309 Midtown Atlanta, Georgia
Oracle
Posted 3 days ago
Job Viewed
Job Description
**Job Description**
**The Program:**
Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us!
**The Company:**
Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com.
**What You'll Do:**
Data Scientist Intern responsibilities may include, but are not limited to:
Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.
Develop models to build solutions to tackle real-world business problems
Interact with product and service teams to identify questions and issues for data analysis and experiments
Communicate your analysis findings to product, service, and business managers
We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle.
**What You'll Bring (Objective Minimum Qualifications):**
To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript.
Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the school year.
Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2026.
Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages:
Python, Java, R, SQL, PL/SQL.
Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries:
Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark
Have completed coursework, projects, internships, and/or research in **two or more** of the following:
Algorithms
Artificial Intelligence
Big Data Query
Data Mining
Data Modeling
Machine Learning
Statistical Inference/Analysis
Attend a university in the US.
Authorized to work in the US in 2026.
No visa sponsorship available
Must be enrolled in a university prior to and following internship completion
What We'll Give You:
**High-impact projects:** You'll get the opportunity to directly influence our cutting-edge products. Got a question or idea? Voice it. Your curiosity could help advance our next-generation cloud applications and help us find new ways to apply emerging technologies like AI, machine learning, and blockchain.
**Mentors that care:** Work with industry-leading professionals and award-winning engineers. On top of your project supervisor, you'll be assigned a peer mentor-a recent hire who can help you navigate the internship experience. You'll also be paired with intern buddies to ensure 360 degree support and engagement.
**World-class training:** Grow from once-in-a-lifetime learning opportunities and exposure to the newest technologies. You'll benefit from comprehensive on-boarding and job-specific training that will help you get the most out of your time with us. Leadership training will help you build your eye for business.
**A fun-filled summer:** Enjoy a close-knit, community experience alongside your class of fellow summer interns. Our interns work across the length and breadth of our business but come together for fun weekly events like tech talks, networking, volunteering, and fun social happenings.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from $19.62 to $3.00 per hour; from: 40,800 to 110,240 per annum.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC0
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
**The Program:**
Our future success depends on hiring extraordinary, early in career talent who are looking to power next-generation services and solutions. We are hiring bachelor's and master's degree students with a diverse set of skills and experiences to work in and across multiple teams within Oracle. Our program is intended to enhance your overall learning experience, help build your network, and accelerate your opportunity to make an impact. Create the future with us!
**The Company:**
Oracle is the world's leading provider of business software! With a presence in over 175 countries, we are one of the biggest technology companies on the planet. We're using innovative emerging technologies to tackle real-world problems today. From advancing energy efficiency to reimagining online commerce, the work we do is not only redefining the world of business-it's helping advance governments, power nonprofits, and giving billions of people the tools they need to outpace change. For more information about Oracle (NYSE:ORCL), visit us at oracle.com.
**What You'll Do:**
Data Scientist Intern responsibilities may include, but are not limited to:
Work on multiple stages of data science projects, including data pipeline, aggregation, feature engineering, modeling and visualization.
Develop models to build solutions to tackle real-world business problems
Interact with product and service teams to identify questions and issues for data analysis and experiments
Communicate your analysis findings to product, service, and business managers
We are seeking to grow the data science capabilities with forward-thinking and diverse interns with exceptional technical ability. This is an exciting role that will stretch your knowledge and curiosity, while at the same time is a phenomenal opportunity to learn new skills and work within an unusually talented, global community at Oracle.
**What You'll Bring (Objective Minimum Qualifications):**
To be considered for a Data Scientist Intern position, you must possess the Objective Minimum Qualifications (OMQs) below. **Please ensure that your application clearly indicates that you meet these OMQs** , either on your resume and/or by uploading additional documents such as a transcript.
Will be enrolled in a Bachelor's, Master's or PhD degree program in an applied business or quantitative field such as Statistics, Operations Research, Applied Mathematics, Computer Science, Economics, Business Analytics, or equivalent field during the school year.
Have completed **at least your junior year** toward your undergraduate degree, or higher, by summer 2026.
Have academic coursework, projects, internships, and/or research experience with tools needed to execute the more technical aspects of statistical data analysis, including proficiency (e.g., can complete projects without any assistance) in **at least one** of the following programming languages:
Python, Java, R, SQL, PL/SQL.
Have experience through coursework, projects, internships, and/or research with **at least one** of the following libraries:
Numpy, Scipy, Matplotlib, SciKit, TensorFlow, PyTorch, Spark
Have completed coursework, projects, internships, and/or research in **two or more** of the following:
Algorithms
Artificial Intelligence
Big Data Query
Data Mining
Data Modeling
Machine Learning
Statistical Inference/Analysis
Attend a university in the US.
Authorized to work in the US in 2026.
No visa sponsorship available
Must be enrolled in a university prior to and following internship completion
What We'll Give You:
**High-impact projects:** You'll get the opportunity to directly influence our cutting-edge products. Got a question or idea? Voice it. Your curiosity could help advance our next-generation cloud applications and help us find new ways to apply emerging technologies like AI, machine learning, and blockchain.
**Mentors that care:** Work with industry-leading professionals and award-winning engineers. On top of your project supervisor, you'll be assigned a peer mentor-a recent hire who can help you navigate the internship experience. You'll also be paired with intern buddies to ensure 360 degree support and engagement.
**World-class training:** Grow from once-in-a-lifetime learning opportunities and exposure to the newest technologies. You'll benefit from comprehensive on-boarding and job-specific training that will help you get the most out of your time with us. Leadership training will help you build your eye for business.
**A fun-filled summer:** Enjoy a close-knit, community experience alongside your class of fellow summer interns. Our interns work across the length and breadth of our business but come together for fun weekly events like tech talks, networking, volunteering, and fun social happenings.
Disclaimer:
**Certain US customer or client-facing roles may be required to comply with applicable requirements, such as immunization and occupational health mandates.**
**Range and benefit information provided in this posting are specific to the stated locations only**
US: Hiring Range in USD from $19.62 to $3.00 per hour; from: 40,800 to 110,240 per annum.
Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge, skills, experience, market conditions and locations, as well as reflect Oracle's differing products, industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.
Oracle US offers a comprehensive benefits package which includes the following:
1. Medical, dental, and vision insurance, including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week, the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto, homeowner and pet insurance
The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.
Career Level - IC0
**About Us**
As a world leader in cloud solutions, Oracle uses tomorrow's technology to tackle today's challenges. We've partnered with industry-leaders in almost every sector-and continue to thrive after 40+ years of change by operating with integrity.
We know that true innovation starts when everyone is empowered to contribute. That's why we're committed to growing an inclusive workforce that promotes opportunities for all.
Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs.
We're committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing or by calling in the United States.
Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans' status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law.
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View Now
7
Director, Data Science (IT)
30309 Midtown Atlanta, Georgia
PagerDuty
Posted 3 days ago
Job Viewed
Job Description
PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses.
Join us. ( At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world-all in a flexible, award-winning workplace.
PagerDuty is seeking a **Director, Data Science (IT)** to build and lead a world-class data science function in the IT Organization. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful data science and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core data analytics, services, and operations.
You'll partner cross-functionally with Business teams across Sales, Marketing, Customer Success, Product, and Finance leaders to ensure we're aligned and scalability is built in adopting data science models & operations. This role is both business-facing and deeply technical. Your primary responsibility is to understand business use cases and proactively propose innovative ways of working using generative AI. As a technologist, you'll lead a team to implement solutions that transform data analytics. You may have prior experience working in business teams, and you will play a key role in building and scaling a team that brings data and GenAI-powered insights to life across the company.
**Key Responsibilities**
+ Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes.
+ Act as a strategic advisor and thought leader, identification, rollout & championing the adoption of AI/ML across the organization.
+ Build, mentor, and lead a high-performing, collaborative team of IT data scientists, IT Data Product Managers, and IT data engineers.
+ Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives.
+ Develop new ideas, brainstorm with Business partners on how the latest innovations in AI can improve business performance.
+ Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value.
+ Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization.
+ Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions.
+ Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement.
+ Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs.
+ Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility.
+ Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability.
**Basic Qualifications** :
+ 10+ years of experience in Business Data analytics, Data Science roles in B2B SaaS.
+ Proven track record of building and leading high-impact data science teams.
+ Proven experience deploying machine learning models at scale in production environments.
+ Familiarity with modern data stacks: cloud data warehouses. (Snowflake/Databricks/AWS), BI Tools, orchestration tools, and MLOps platforms.
+ Exceptional communication and storytelling skills. You can simplify complexity and influence at all levels.
**Preferred Qualifications:**
+ Bachelor's in a quantitative field such as Computer Science, Statistics, Mathematics, or similar, with an advanced degree (Master's degree or higher) preferred.
PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.
This role is expected to come into our **Atlanta office 2 days per week** , so you can thrive in your new role and fully embrace being a Dutonian!
The base salary range for this position is 212,000 - 356,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.
Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.
Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.
**Hesitant to apply?**
We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts ( !
**Where we work**
PagerDuty operates a hybrid work model with offices ( in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we **cannot** employ candidates residing in:
**Location restrictions:**
**Australia:** Northern Territory, Queensland, South Australia, Tasmania, Western Australia
**Canada:** Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon
**United States:** Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming
_Candidates must reside in an eligible location, which vary by role._
**How we work**
Our values ( guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.
People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.
**What we offer**
As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site ( .
**Your package may include:**
+ Competitive salary
+ Comprehensive benefits package
+ Flexible work arrangements
+ Company equity*
+ ESPP (Employee Stock Purchase Program)*
+ Retirement or pension plan*
+ Generous paid vacation time
+ Paid holidays and sick leave
+ Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
+ Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
+ Paid volunteer time off: 20 hours per year
+ Company-wide hack weeks
+ Mental wellness programs
*Eligibility may vary by role, region, and tenure
**About PagerDuty**
PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses
PagerDuty is Great Place to Work-certified, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2.
Go behind-the-scenes on our careers site ( and @pagerduty on Instagram.
**Additional Information**
PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy ( .
PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email and we will work with you to meet your accessibility needs.
PagerDuty uses the E-Verify employment verification program.
Join us. ( At PagerDuty, you'll tackle complex problems, collaborate with kind and ambitious people, and help build a more equitable world-all in a flexible, award-winning workplace.
PagerDuty is seeking a **Director, Data Science (IT)** to build and lead a world-class data science function in the IT Organization. In this role, you will shape the team's vision, foster an inclusive and high-performing culture, and drive impactful data science and advanced analytics initiatives across the organization. You will work closely with cross-functional partners to address complex challenges and embed data science into our core data analytics, services, and operations.
You'll partner cross-functionally with Business teams across Sales, Marketing, Customer Success, Product, and Finance leaders to ensure we're aligned and scalability is built in adopting data science models & operations. This role is both business-facing and deeply technical. Your primary responsibility is to understand business use cases and proactively propose innovative ways of working using generative AI. As a technologist, you'll lead a team to implement solutions that transform data analytics. You may have prior experience working in business teams, and you will play a key role in building and scaling a team that brings data and GenAI-powered insights to life across the company.
**Key Responsibilities**
+ Define and lead the data science vision, strategy, and roadmap in alignment with business goals and measurable outcomes.
+ Act as a strategic advisor and thought leader, identification, rollout & championing the adoption of AI/ML across the organization.
+ Build, mentor, and lead a high-performing, collaborative team of IT data scientists, IT Data Product Managers, and IT data engineers.
+ Partner closely with Sales, Product, Marketing, Customer Success, Engineering, and other teams to drive impactful data science initiatives.
+ Develop new ideas, brainstorm with Business partners on how the latest innovations in AI can improve business performance.
+ Serve as a bridge between technical teams and business units, ensuring alignment on priorities, deliverables, and strategic value.
+ Deliver clear, compelling insights to both technical and non-technical audiences through storytelling and data visualization.
+ Present findings and strategic recommendations to senior and executive stakeholders to influence high-level decisions.
+ Oversee the full lifecycle of machine learning models, including development, validation, deployment, monitoring, and continuous improvement.
+ Collaborate with Data Engineering to design scalable, well-defined data assets, features, and metrics that support evolving analytical and product needs.
+ Establish and promote best practices in experimentation, modeling, data governance, and model reproducibility.
+ Ensure robust documentation, version control, and transparency across all projects to support sustainability and auditability.
**Basic Qualifications** :
+ 10+ years of experience in Business Data analytics, Data Science roles in B2B SaaS.
+ Proven track record of building and leading high-impact data science teams.
+ Proven experience deploying machine learning models at scale in production environments.
+ Familiarity with modern data stacks: cloud data warehouses. (Snowflake/Databricks/AWS), BI Tools, orchestration tools, and MLOps platforms.
+ Exceptional communication and storytelling skills. You can simplify complexity and influence at all levels.
**Preferred Qualifications:**
+ Bachelor's in a quantitative field such as Computer Science, Statistics, Mathematics, or similar, with an advanced degree (Master's degree or higher) preferred.
PagerDuty is a flexible, hybrid workplace. We embrace and encourage in-person working as an integral part of our culture. Both our employees and external research tells us that co-located collaboration strengthens connections, drives innovation, and accelerates learning.
This role is expected to come into our **Atlanta office 2 days per week** , so you can thrive in your new role and fully embrace being a Dutonian!
The base salary range for this position is 212,000 - 356,000 USD. This role may also be eligible for bonus, commission, equity, and/or benefits.
Our base salary ranges are determined by role, level, and location. The range, which is subject to change based on primary work location, reflects the minimum and maximum base salary we expect to pay newly hired employees for the position. Within the range, we determine pay for an individual based on a number of factors including market location, job-related knowledge, skills/competencies and experience.
Your recruiter can share more about the specific offerings for this role, as well as the salary range for your primary work location during the hiring process.
**Hesitant to apply?**
We encourage you to submit your resume even if you don't meet every requirement. We value potential and consider each candidate's full professional story. Whether you're exploring a career change or taking your next step, we look forward to reviewing your application. If this just isn't the right role or time - sign up for job alerts ( !
**Where we work**
PagerDuty operates a hybrid work model with offices ( in 8 major cities: Atlanta, Lisbon, London, San Francisco, Santiago, Sydney, Tokyo, and Toronto. While we offer flexibility within our established locations, we **cannot** employ candidates residing in:
**Location restrictions:**
**Australia:** Northern Territory, Queensland, South Australia, Tasmania, Western Australia
**Canada:** Alberta, Manitoba, Newfoundland, Northwest Territories, Nunavut, PEI, Quebec, Saskatchewan, Yukon
**United States:** Alaska, Hawaii, Iowa, Louisiana, Mississippi, Nebraska, New Mexico, Oklahoma, Rhode Island, South Dakota, West Virginia, Wyoming
_Candidates must reside in an eligible location, which vary by role._
**How we work**
Our values ( guide how we support customers, collaborate with colleagues, develop products, and foster a culture of belonging. They define not just our actions, but what it means to be Dutonian.
People Leaders at PagerDuty are responsible for creating high performance environments that drive accountability. PagerDuty has four key dimensions that define our Leadership Impact: Lead Self, Lead the Team, Lead the Business, and Lead the Future. Each dimension has three associated competencies to give leaders a shared language for guiding their development, career, promotion, and succession planning discussions. Our Manager Expectations serve as a practical guide for managers to understand their responsibilities, prioritize their efforts, and drive engagement and performance.
**What we offer**
As a global organization, our total rewards approach is competitive with industry standards and aligned with local laws and regulations. Learn more, including country-specific offerings, on our benefits site ( .
**Your package may include:**
+ Competitive salary
+ Comprehensive benefits package
+ Flexible work arrangements
+ Company equity*
+ ESPP (Employee Stock Purchase Program)*
+ Retirement or pension plan*
+ Generous paid vacation time
+ Paid holidays and sick leave
+ Dutonian Wellness Days & HibernationDuty - companywide paid days off in addition to PTO
+ Paid parental leave: 22 weeks for pregnant parent, 12 weeks for non-pregnant parent (some countries have longer leave standards and we comply with local laws)*
+ Paid volunteer time off: 20 hours per year
+ Company-wide hack weeks
+ Mental wellness programs
*Eligibility may vary by role, region, and tenure
**About PagerDuty**
PagerDuty, Inc. (NYSE:PD) is a global leader in digital operations management. The PagerDuty Operations Cloud is an AI-powered platform that empowers business resilience and drives operational efficiency for enterprises. With a generative AI assistant at its core, PagerDuty empowers teams to detect and resolve issues in real time, orchestrate complex workflows, and drive continuous improvement across their digital operations. Trusted by nearly half of both the Fortune 500 and the Forbes AI 50, as well as approximately two-thirds of the Fortune 100, PagerDuty is essential for delivering always-on digital experiences to modern businesses
PagerDuty is Great Place to Work-certified, a Fortune Best Workplace for Millennials, a Fortune Best Medium Workplace, a Fortune Best Workplace in Technology, and a top rated product on TrustRadius and G2.
Go behind-the-scenes on our careers site ( and @pagerduty on Instagram.
**Additional Information**
PagerDuty is an equal opportunity employer. PagerDuty does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status. Your privacy is important to us. By submitting an application, you confirm that you have read and understand PagerDuty's Privacy Policy ( .
PagerDuty is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application process. Should you require accommodation, please email and we will work with you to meet your accessibility needs.
PagerDuty uses the E-Verify employment verification program.
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8
Senior Manager, Data Science
30309 Midtown Atlanta, Georgia
HD Supply
Posted 3 days ago
Job Viewed
Job Description
**Job Summary**
Responsible for managing the analytic team efforts to develop easily repeatable reports and dashboards that will allow internal clients to make data-driven decisions. Implement strategies which result in measureable financial returns to the business.
**Major Tasks, Responsibilities, and Key Accountabilities**
+ Oversees development and implementation of self-service business intelligence solutions. Works work with IT and business users to shape the BI vision and to optimize the data infrastructure.
+ Develops analytical frameworks, roadmaps, and metrics for the team and broader organization of resources.
+ Works closely with data management team to implement centralized data warehousing solutions and assist with design and build of data cubes for reporting to deliver consistent information across the business.
+ Tests, analyzes and problem-solves data issues to ensure data integrity and provide technical support for end users of self-service BI tool.
+ Develops complex reports dashboards and scorecards, as well as reporting and analysis for all areas of the business and program performance to drive results and guide BI decisions.
+ Collaborates with sales, marketing, call center, and strategy team to target insights and customer behavioral data.
+ Provides support to multiple departments to ensure the BI, analytic, and reporting needs are met with technology, architecture, processes and tools.
+ Manages project communications between all departments. Communicates directly with team members to enforce scheduled deliverables, relay revision requests, record progress, and address obstacles as they arise.
**Nature and Scope**
+ Solutions require analysis and investigation.
+ Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience. May recommend/make decisions regarding new programs/initiatives that have significant impact to the business and carry consequences in unsuccessful endeavors.
+ Manages a larger team or multiple small teams through direction of subordinate management and/or supervisory staff.
**Work Environment**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
+ Typically requires overnight travel 20% to 50% of the time.
**Education and Experience**
+ Typically requires BS/BA in a related discipline. Generally 7+ years of experience in a related field. May require certification. Advanced degree may offset less experience in some disciplines.
**Our Goals for Diversity, Equity, and Inclusion**
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
**Equal Employment Opportunity**
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
HD Supply is an Equal Opportunity Minority/Female/Individuals with Disabilities/Protected Veteran and Affirmative Action Employer. HD Supply considers for employment and hires qualified candidates without regard to age, race, religion, color, sex, sexual orientation, gender, gender identity, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law.
Responsible for managing the analytic team efforts to develop easily repeatable reports and dashboards that will allow internal clients to make data-driven decisions. Implement strategies which result in measureable financial returns to the business.
**Major Tasks, Responsibilities, and Key Accountabilities**
+ Oversees development and implementation of self-service business intelligence solutions. Works work with IT and business users to shape the BI vision and to optimize the data infrastructure.
+ Develops analytical frameworks, roadmaps, and metrics for the team and broader organization of resources.
+ Works closely with data management team to implement centralized data warehousing solutions and assist with design and build of data cubes for reporting to deliver consistent information across the business.
+ Tests, analyzes and problem-solves data issues to ensure data integrity and provide technical support for end users of self-service BI tool.
+ Develops complex reports dashboards and scorecards, as well as reporting and analysis for all areas of the business and program performance to drive results and guide BI decisions.
+ Collaborates with sales, marketing, call center, and strategy team to target insights and customer behavioral data.
+ Provides support to multiple departments to ensure the BI, analytic, and reporting needs are met with technology, architecture, processes and tools.
+ Manages project communications between all departments. Communicates directly with team members to enforce scheduled deliverables, relay revision requests, record progress, and address obstacles as they arise.
**Nature and Scope**
+ Solutions require analysis and investigation.
+ Achieves planned results by decisions and actions based on professional methods, business principles, and practical experience. May recommend/make decisions regarding new programs/initiatives that have significant impact to the business and carry consequences in unsuccessful endeavors.
+ Manages a larger team or multiple small teams through direction of subordinate management and/or supervisory staff.
**Work Environment**
+ Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.
+ Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.
+ Typically requires overnight travel 20% to 50% of the time.
**Education and Experience**
+ Typically requires BS/BA in a related discipline. Generally 7+ years of experience in a related field. May require certification. Advanced degree may offset less experience in some disciplines.
**Our Goals for Diversity, Equity, and Inclusion**
We are committed to creating a culture that promotes equity, respect, and advocacy for every HD Supply associate. We value the diversity of our people.
**Equal Employment Opportunity**
HD Supply is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
HD Supply is an Equal Opportunity Minority/Female/Individuals with Disabilities/Protected Veteran and Affirmative Action Employer. HD Supply considers for employment and hires qualified candidates without regard to age, race, religion, color, sex, sexual orientation, gender, gender identity, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law.
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9