116 Data Science jobs in Boise
Data Science Director
83756 Boise, Idaho
Meta
Posted today
Job Viewed
Job Description
**Summary:**
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
We're looking for a seasoned analytics leader to drive data-informed decisions for Meta. You will play a critical role in helping Meta build the platforms of the future. You will partner with the product and business teams that build and grow our infrastructure for the future of Meta. You will be focused on results, be proactive, deliver rigorous analyses, and use data to drive change in products, strategies, and organizations.About the role:People leadership: You will inspire, lead and grow a world-class team.Product leadership: You will use data to shape development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a broad toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
**Required Skills:**
Data Science Director Responsibilities:
1. Inspire, lead and grow a distributed team of data scientists and data science leaders across North America
2. Apply your expertise in quantitative analysis, data mining, and the presentation of data in developing data-informed strategies for growing and improving our product offerings.
3. Contribute to long-term technical vision and strategy methods and metrics that will improve the quality and efficiency of our products at scale.
4. Lead development and communication of product area insights and recommended action items with Meta Analytics leadership.
**Minimum Qualifications:**
Minimum Qualifications:
5. 10+ years of work experience managing analytics teams, working collaboratively with Product and Infrastructure teams, and guiding data-influenced product and business planning, prioritization and strategy development.
6. Demonstrated experience in hiring, retaining and scaling geographically dispersed, high-performing teams with a broad range of experiences, perspectives, approaches, and backgrounds
7. Proven experience influencing strategy and driving change across org boundaries through clear and compelling communication of data-driven insights and analyses.
8. Intellectual curiosity, drive, and decisiveness with ambiguous and complex enviornments.
9. Experience working effectively with multiple stakeholders and cross-functionally.
10. Effective communication skills.
**Preferred Qualifications:**
Preferred Qualifications:
11. Experience with both product and business analytics work and demonstrated to deliver an integrated approach.
**Public Compensation:**
$253,000/year to $314,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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0
Director, Data Science
83756 Boise, Idaho
Confluent
Posted today
Job Viewed
Job Description
**Location:**
Remote, United States
**Employment Type:**
FullTime
**Location Type:**
Remote
**Department**
Finance & Operations, Business Technology, Data, & Operations
**Compensation:**
$292.5K - $351K
_At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here ( _._
**Overview**
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
**About the Role:**
The Data Science Team is at the heart of our company, building the central nervous system that drives better and faster decisions through data and predictive models. We are seeking an inspirational leader to guide a team of highly skilled data scientists in creating advanced forecasting models and predictive solutions using state of the art ML infrastructure.
We need a hands-on independent leader with expertise in various time series techniques and supervised and unsupervised modeling. This role also requires a strong advocate for MLOps to ensure team productivity and efficiency, along with a deep understanding of open-source libraries like MLFlow and Hydra to build scalable models with best practices.
If you are a visionary with a passion for ML and a knack for fostering innovation, we want to chat with you. The journey will be rewarding in every sense. Join us and make an impact!
**What You Will Do:**
+ Leadership and Team Management:
+ Lead and mentor a team of highly skilled data scientists, fostering a collaborative and innovative environment.
+ Develop and execute a strategic vision for the ML Data Science team, aligning with company goals.
+ Ensure the team delivers high-quality predictive models and forecasting solutions that drive business value.
+ Stakeholder Collaboration and Communication:
+ Collaborate with cross-functional teams to understand business needs and translate them into data science projects.
+ Communicate complex technical concepts and results to non-technical stakeholders in a clear and actionable manner.
+ Time Series Forecasting:
+ Utilize statistical time series methodologies such as ARIMA and SARIMA, advanced forecasting strategies with deep learning, transformers, and LLMs to develop precise and scalable forecasting models.
+ Decompose time series data into trend, seasonality, baseline, and error components to improve forecast accuracy.
+ Experiment with and implement novel approaches to enhance forecasting performance.
+ Supervised, Unsupervised, and Deep Learning Modelling:
+ Apply unsupervised learning techniques for customer segmentation and insights.
+ Build supervised learning models for classification tasks such as NBA, churn prediction, and cross-sell opportunities.
+ Develop and deploy deep learning models to solve complex business problems and enhance predictive accuracy.
+ MLOps and Best Practices:
+ Implement MLOps to streamline model development, deployment, and monitoring, enhancing team productivity and efficiency.
+ Utilize open-source libraries such as MLFlow and Hydra to ensure scalable and reproducible model development.
+ Advocate for and enforce best practices in data science and machine learning workflows.
+ Continuous Learning and Innovation:
+ Stay up-to-date with the latest trends and advancements in data science, machine learning, and AI.
+ Encourage continuous learning and development within the broader data team, fostering a culture of innovation.
**What You Will Bring:**
+ Advanced degree in Computer Science, Engineering, Statistics, or a related technical field.
+ 10+ years of industry experience in Data Science, preferably in companies with a strong data-driven culture.
+ 5+ years of experience leading and mentoring Data Science teams, collaborating with Data Engineering, enterprise systems, and Business Unit embedded operations teams.
+ Proven leadership in developing and executing strategic visions for ML Data Science teams aligned with company goals.
+ Proficiency in Python and data science libraries such as tensorflow, scikit-learn, pandas, NumPy, etc., for model development, evaluation, and deployment.
+ Ability to ensure the delivery of high-quality predictive models and forecasting solutions that drive business value.
+ Expertise in statistical time series methodologies such as ARIMA, SARIMA, and advanced forecasting strategies using deep learning, transformers, and LLMs.
+ Proficiency in supervised, unsupervised, and deep learning techniques for customer segmentation, classification tasks (e.g., NBA, churn prediction), and complex business problem-solving.
+ Experience implementing MLOps to streamline model development, deployment, and monitoring, enhancing team productivity and efficiency.
+ Strong communication and presentation skills to collaborate with cross-functional teams, translate business needs into data science projects, and communicate technical concepts to non-technical stakeholders effectively.
**What Gives You an Edge:**
+ Experience with GCP Vertex AI ML platform or similar platforms for model development, deployment, and management.
+ Experience implementing MLOps best practices to streamline end to end model building.
+ Experience in effectively driving measurable business outcomes using advanced modeling techniques
**Ready to build what's next? Let's get in motion.**
**Come As You Are**
Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible.
We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
Remote, United States
**Employment Type:**
FullTime
**Location Type:**
Remote
**Department**
Finance & Operations, Business Technology, Data, & Operations
**Compensation:**
$292.5K - $351K
_At Confluent, we are committed to providing competitive pay and benefits that are in line with industry standards. We analyze and carefully consider several factors when determining compensation, including work history, education, professional experience, and location. The actual pay may vary depending on your skills, qualifications, experience, and work location. In addition, Confluent offers a wide range of employee benefits. To learn more about our benefits click_ here ( _._
**Overview**
We're not just building better tech. We're rewriting how data moves and what the world can do with it. With Confluent, data doesn't sit still. Our platform puts information in motion, streaming in near real-time so companies can react faster, build smarter, and deliver experiences as dynamic as the world around them.
It takes a certain kind of person to join this team. Those who ask hard questions, give honest feedback, and show up for each other. No egos, no solo acts. Just smart, curious humans pushing toward something bigger, together.
One Confluent. One Team. One Data Streaming Platform.
**About the Role:**
The Data Science Team is at the heart of our company, building the central nervous system that drives better and faster decisions through data and predictive models. We are seeking an inspirational leader to guide a team of highly skilled data scientists in creating advanced forecasting models and predictive solutions using state of the art ML infrastructure.
We need a hands-on independent leader with expertise in various time series techniques and supervised and unsupervised modeling. This role also requires a strong advocate for MLOps to ensure team productivity and efficiency, along with a deep understanding of open-source libraries like MLFlow and Hydra to build scalable models with best practices.
If you are a visionary with a passion for ML and a knack for fostering innovation, we want to chat with you. The journey will be rewarding in every sense. Join us and make an impact!
**What You Will Do:**
+ Leadership and Team Management:
+ Lead and mentor a team of highly skilled data scientists, fostering a collaborative and innovative environment.
+ Develop and execute a strategic vision for the ML Data Science team, aligning with company goals.
+ Ensure the team delivers high-quality predictive models and forecasting solutions that drive business value.
+ Stakeholder Collaboration and Communication:
+ Collaborate with cross-functional teams to understand business needs and translate them into data science projects.
+ Communicate complex technical concepts and results to non-technical stakeholders in a clear and actionable manner.
+ Time Series Forecasting:
+ Utilize statistical time series methodologies such as ARIMA and SARIMA, advanced forecasting strategies with deep learning, transformers, and LLMs to develop precise and scalable forecasting models.
+ Decompose time series data into trend, seasonality, baseline, and error components to improve forecast accuracy.
+ Experiment with and implement novel approaches to enhance forecasting performance.
+ Supervised, Unsupervised, and Deep Learning Modelling:
+ Apply unsupervised learning techniques for customer segmentation and insights.
+ Build supervised learning models for classification tasks such as NBA, churn prediction, and cross-sell opportunities.
+ Develop and deploy deep learning models to solve complex business problems and enhance predictive accuracy.
+ MLOps and Best Practices:
+ Implement MLOps to streamline model development, deployment, and monitoring, enhancing team productivity and efficiency.
+ Utilize open-source libraries such as MLFlow and Hydra to ensure scalable and reproducible model development.
+ Advocate for and enforce best practices in data science and machine learning workflows.
+ Continuous Learning and Innovation:
+ Stay up-to-date with the latest trends and advancements in data science, machine learning, and AI.
+ Encourage continuous learning and development within the broader data team, fostering a culture of innovation.
**What You Will Bring:**
+ Advanced degree in Computer Science, Engineering, Statistics, or a related technical field.
+ 10+ years of industry experience in Data Science, preferably in companies with a strong data-driven culture.
+ 5+ years of experience leading and mentoring Data Science teams, collaborating with Data Engineering, enterprise systems, and Business Unit embedded operations teams.
+ Proven leadership in developing and executing strategic visions for ML Data Science teams aligned with company goals.
+ Proficiency in Python and data science libraries such as tensorflow, scikit-learn, pandas, NumPy, etc., for model development, evaluation, and deployment.
+ Ability to ensure the delivery of high-quality predictive models and forecasting solutions that drive business value.
+ Expertise in statistical time series methodologies such as ARIMA, SARIMA, and advanced forecasting strategies using deep learning, transformers, and LLMs.
+ Proficiency in supervised, unsupervised, and deep learning techniques for customer segmentation, classification tasks (e.g., NBA, churn prediction), and complex business problem-solving.
+ Experience implementing MLOps to streamline model development, deployment, and monitoring, enhancing team productivity and efficiency.
+ Strong communication and presentation skills to collaborate with cross-functional teams, translate business needs into data science projects, and communicate technical concepts to non-technical stakeholders effectively.
**What Gives You an Edge:**
+ Experience with GCP Vertex AI ML platform or similar platforms for model development, deployment, and management.
+ Experience implementing MLOps best practices to streamline end to end model building.
+ Experience in effectively driving measurable business outcomes using advanced modeling techniques
**Ready to build what's next? Let's get in motion.**
**Come As You Are**
Belonging isn't a perk here. It's the baseline. We work across time zones and backgrounds, knowing the best ideas come from different perspectives. And we make space for everyone to lead, grow, and challenge what's possible.
We're proud to be an equal opportunity workplace. Employment decisions are based on job-related criteria, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other classification protected by law.
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1
Data Science Manager, GenAI, Strategic Analytics - Data Science
83756 Boise, Idaho
Deloitte
Posted today
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 August 11, 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 August 11, 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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2
Senior Data Science Analyst
83708 Hidden Springs, Idaho
Simplot
Posted 2 days ago
Job Viewed
Job Description
Senior Data Science Analyst
Location:
Boise, ID, US, 83702-6924
The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
Summary
The Data Science Analyst Master is important to the execution of Simplot's Artificial Intelligence (AI) vision and the deployment of solutions that transform how we operate and make decisions. This role will bring together the capabilities of Data Science and AI with opportunities to enhance business capabilities beyond what humans can accomplish alone. The Analyst will manage the delivery of complex AI solutions supporting multiple global business domains. The role upholds and shapes AI governance policy and process to ensure safe and protected solutions are deployed. This is an individual contributor role that provides expertise managing requirements for complex technology solutions, and leads and influences the planning, execution, and continuous improvement of Data Science work.
Key Responsibilities
-
Facilitates sessions with the business to define moderately to highly complex AI use cases.
-
Capture and document product functional requirements from business partners, including new products, features and enhancements. Regularly obtain feedback from business owners and stakeholders to confirm requirements are met prior to deployment. Manage requirements throughout product lifecycle.
-
Defines test cases based on specific business use cases. Manages UAT with team members and business partners.
-
Demonstrates technical and non-technical leadership with foundational data management or machine learning/AI knowledge and skills, and exerts influence outside of immediate team.
-
Facilitates and/or performs data quality management and remediation, including basic to highly complex data profiling and data cleansing activities with business SMEs.
-
Participates in the delivery of solutions to complex problems.
-
Contributes to strategic direction for data science product delivery teams.
-
Represents team to business partners.
-
Influences and consults with team members and other organizations, business partners, and vendors on complex issues.
-
Expertise with internal standards and policies relevant to AI governance and data science. Assists the business in assessing risks and applying standards and policies.
-
May direct other employees or vendors in configuration design and implementation tasks.
Typical Education
Bachelor's degree required, equivalent education and experience may be considered
Relevant Experience
8+ years of experience
Required Certifications
Other Information
-
General leadership and influencing skills with data science and/or analytics product lifecycle management and development.
-
Advanced skills in requirements gathering, defining use cases, synthesizing research, and creating documentation.
-
Participation in one or more full product release cycles. Excellent verbal and written communication skills; ability to work effectively in a geographically dispersed team.
-
Advanced understanding of software configuration, design, testing and implementation practices.
-
Advanced understanding of information security procedures and practices and data management practices.
-
Good understanding of data modeling and preparation.
-
Intermediate to advanced understanding or experience with data preparation, visualization, analysis, or AI solution development using no or low-code technologies, or common programming languages (e.g., Power BI, SQL, Python, Azure services).
-
Strong meeting planning and facilitation skills.
-
Intermediate to advanced understanding of standard business processes; strong ability to align product scope with business objectives.
-
Knowledge of approaches, tools and techniques for anticipating, recognizing, and resolving technical (hardware, software, application or operational) problems as applicable.
Job Requisition ID : 22768
Travel Required :
Location(s) : Simplot Headquarters - Boise
Country: United States
***The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. ***
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3
Data Science Analyst III
83708 Hidden Springs, Idaho
Simplot
Posted 2 days ago
Job Viewed
Job Description
Data Science Analyst III
Location:
Boise, ID, US, 83702-6924
The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
Summary
The Data Science Analyst Expert is important to the execution of Simplot's Artificial Intelligence (AI) vision and the deployment of solutions that transform how we operate and make decisions. This role will bring together the capabilities of Data Science and AI with opportunities to enhance business capabilities beyond what humans can accomplish alone. The Analyst will assist in managing the delivery of AI solutions supporting multiple global business domains. The role assists in educating business partners AI governance policy and process to ensure safe and protected solutions are deployed. This is an individual contributor role that provides expertise managing requirements for technology solutions, and coordinates and influences the planning, execution, and continuous improvement of Data Science work.
Must be currently residing in local Boise, ID region to be considered.
Key Responsibilities
-
Facilitates sessions with the business to define moderately complex AI use cases.
-
Capture and document product functional requirements from business partners, including new features and enhancements. Regularly obtain feedback from business owners and stakeholders to confirm requirements are met prior to deployment. Manage requirements throughout product lifecycle
-
Defines test cases based on specific business use cases. Coordinates UAT with team members and business partners.
-
Demonstrates technical and non-technical expertise with foundational data management or machine learning/AI knowledge and skills, and exerts influence within the immediate team.
-
Facilitates and/or performs data quality management and remediation, including basic to moderately complex data profiling and data cleansing activities with business SMEs.
-
Participates in the delivery of solutions to moderately complex or complex problems.
-
Represents team to business partners.
-
Consults with team members and other organizations, business partners, and vendors on complex issues.
-
Expertise with internal standards and policies relevant to AI and data science. Assists the business in assessing risks and applying standards and policies.
-
May complete configuration of AI solutions individually in low-code environments, or through more junior analysts or vendors.
Typical Education
Bachelor's degree required, equivalent education and experience may be considered
Relevant Experience
3-8 years of experience
Required Certifications
Other Information
-
General understanding of data science and/or analytics product lifecycle.
-
Intermediate skills in requirements gathering, defining use cases, synthesizing research, and creating documentation.
-
Participation in one or more full product release cycles.
-
Good verbal and written communication skills; ability to work effectively in a geographically dispersed team.
-
Intermediate understanding of software configuration, design, testing and implementation practices.
-
Intermediate understanding of information security procedures and practices and data management practices.
-
Understanding of basic data modeling and preparation.
-
Basic to intermediate understanding or experience with data preparation, visualization, analysis, or AI solution development using no or low-code technologies, or common programming languages (e.g., Power BI, SQL, Python, Azure services).
-
Strong meeting planning and facilitation skills.
-
Intermediate understanding of standard business processes; ability to align product scope with business objectives.
Job Requisition ID : 22769
Travel Required :
Location(s) : Simplot Headquarters - Boise
Country: United States
***The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. ***
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4
Data Science Product Manager
83756 Boise, Idaho
R1 RCM
Posted today
Job Viewed
Job Description
R1 is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry's most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation, and workflow orchestration.
R1 is seeking a **Data Science Product Manager** with a background in hospital revenue cycle to join our team.
This will be a hybrid role combining product skills with data science and technical expertise.
+ On the product side, the role requires strong leadership, communication and project management skills with the ability to drive change and collaborate with cross-functional teams.
+ On the technical side, the role requires data skills including data analysis, SQL or Python experience, and prompt engineering; the role also serves as a crucial bridge between business stakeholders and engineering .
**Responsibilities:**
+ **Product Management** : Develop science solutions within our product offerings in healthcare revenue cycle. Utilize research, stakeholder insights, and business expertise to perform prompt engineering, review model architecture, and guide data scientists in feature engineering.
+ **Project Management** : Prepare high quality plans and roadmaps that synthesize data science vision and progress. Groom, prioritize and juggle multiple data science projects.
+ **Innovative Analytics and Product Insights** : Create informative visualizations that intuitively display large amounts of data and/or complex relationships for internal stakeholders. Independently research business challenges and model results using SQL, Python or other tools. Research model results and features to hone performance.
+ **Stakeholder Engagement** : Act as a bridge between business stakeholders and engineering. Distill complex data concepts into simple language and business concepts.
+ **Leadership** : Collaborate fluidly with engineering counterparts and business stakeholders; lead brainstorms and strategy sessions to understand business challenges and root causes. Present to stakeholders and management and drive project alignment.
+ **Healthcare Industry Expertise** : Understand healthcare revenue cycle processes and regulations.
**Required Qualifications** :
+ 4+ years of healthcare or business experience.
+ 2+ years of experience working with data, data analytics, or data science.
+ Demonstrated success working with and leading cross-functional teams.
+ Experience taking complex business problems and coming up with clear strategies, solutions, and roadmaps.
+ Experience creating analytics tools and visualizing data and model results utilizing a modern BI tool (Power BI, Spotfire, Tableau, etc.).
+ Experience juggling shifting priorities in a fast-paced work environment and staying on top of tight deadlines.
+ Can-do attitude with a demonstrated ability to get things done under minimal supervision and drive results across cross functional teams.
+ Strong interpersonal skills with a demonstrated ability to achieve results through influence.
+ Strong written and verbal communication skills, solid presentation skills and proven ability to run effective meetings with interactions at all levels of an organization.
**Desired Qualifications:**
+ 4+ years healthcare experience.
+ 2+ years of experience working in data science.
+ Revenue cycle expertise including processes, structures, and objectives.
+ Knowledge of data science techniques and machine learning modeling concepts including real-world advantages/drawbacks.
+ Experience working with Azure Machine Learning and notebook coding environments.
+ Knowledge of performance improvement techniques for extracting large datasets from SQL-based environments.
+ Experience delivering advanced statistical concepts through Power BI.
For this US-based position, the base pay range is $90,000.00 - $138,517.79 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
This job is eligible to participate in our annual bonus plan at a target of 10.00%
The healthcare system is always evolving - and it's up to us to use our shared expertise to find new solutions that can keep up. On our growing team you'll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.
Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team - including offering a competitive benefits package. ( RCM Inc. ("the Company") is dedicated to the fundamentals of equal employment opportunity. The Company's employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person's age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.
If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at for assistance.
CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent ( learn more, visit: R1RCM.com
Visit us on Facebook ( is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry's most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation and workflow orchestration.
Headquartered near Salt Lake City, Utah, R1 employs over 29,000 people globally.
R1 is seeking a **Data Science Product Manager** with a background in hospital revenue cycle to join our team.
This will be a hybrid role combining product skills with data science and technical expertise.
+ On the product side, the role requires strong leadership, communication and project management skills with the ability to drive change and collaborate with cross-functional teams.
+ On the technical side, the role requires data skills including data analysis, SQL or Python experience, and prompt engineering; the role also serves as a crucial bridge between business stakeholders and engineering .
**Responsibilities:**
+ **Product Management** : Develop science solutions within our product offerings in healthcare revenue cycle. Utilize research, stakeholder insights, and business expertise to perform prompt engineering, review model architecture, and guide data scientists in feature engineering.
+ **Project Management** : Prepare high quality plans and roadmaps that synthesize data science vision and progress. Groom, prioritize and juggle multiple data science projects.
+ **Innovative Analytics and Product Insights** : Create informative visualizations that intuitively display large amounts of data and/or complex relationships for internal stakeholders. Independently research business challenges and model results using SQL, Python or other tools. Research model results and features to hone performance.
+ **Stakeholder Engagement** : Act as a bridge between business stakeholders and engineering. Distill complex data concepts into simple language and business concepts.
+ **Leadership** : Collaborate fluidly with engineering counterparts and business stakeholders; lead brainstorms and strategy sessions to understand business challenges and root causes. Present to stakeholders and management and drive project alignment.
+ **Healthcare Industry Expertise** : Understand healthcare revenue cycle processes and regulations.
**Required Qualifications** :
+ 4+ years of healthcare or business experience.
+ 2+ years of experience working with data, data analytics, or data science.
+ Demonstrated success working with and leading cross-functional teams.
+ Experience taking complex business problems and coming up with clear strategies, solutions, and roadmaps.
+ Experience creating analytics tools and visualizing data and model results utilizing a modern BI tool (Power BI, Spotfire, Tableau, etc.).
+ Experience juggling shifting priorities in a fast-paced work environment and staying on top of tight deadlines.
+ Can-do attitude with a demonstrated ability to get things done under minimal supervision and drive results across cross functional teams.
+ Strong interpersonal skills with a demonstrated ability to achieve results through influence.
+ Strong written and verbal communication skills, solid presentation skills and proven ability to run effective meetings with interactions at all levels of an organization.
**Desired Qualifications:**
+ 4+ years healthcare experience.
+ 2+ years of experience working in data science.
+ Revenue cycle expertise including processes, structures, and objectives.
+ Knowledge of data science techniques and machine learning modeling concepts including real-world advantages/drawbacks.
+ Experience working with Azure Machine Learning and notebook coding environments.
+ Knowledge of performance improvement techniques for extracting large datasets from SQL-based environments.
+ Experience delivering advanced statistical concepts through Power BI.
For this US-based position, the base pay range is $90,000.00 - $138,517.79 per year . Individual pay is determined by role, level, location, job-related skills, experience, and relevant education or training.
This job is eligible to participate in our annual bonus plan at a target of 10.00%
The healthcare system is always evolving - and it's up to us to use our shared expertise to find new solutions that can keep up. On our growing team you'll find the opportunity to constantly learn, collaborate across groups and explore new paths for your career.
Our associates are given the chance to contribute, think boldly and create meaningful work that makes a difference in the communities we serve around the world. We go beyond expectations in everything we do. Not only does that drive customer success and improve patient care, but that same enthusiasm is applied to giving back to the community and taking care of our team - including offering a competitive benefits package. ( RCM Inc. ("the Company") is dedicated to the fundamentals of equal employment opportunity. The Company's employment practices , including those regarding recruitment, hiring, assignment, promotion, compensation, benefits, training, discipline, and termination shall not be based on any person's age, color, national origin, citizenship status, physical or mental disability, medical condition, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status or any other characteristic protected by federal, state or local law. Furthermore, the Company is dedicated to providing a workplace free from harassment based on any of the foregoing protected categories.
If you have a disability and require a reasonable accommodation to complete any part of the job application process, please contact us at for assistance.
CA PRIVACY NOTICE: California resident job applicants can learn more about their privacy rights California Consent ( learn more, visit: R1RCM.com
Visit us on Facebook ( is the leading provider of technology-driven solutions that transform the patient experience and financial performance of hospitals, health systems and medical groups. We are the one company that combines the deep expertise of a global workforce of revenue cycle professionals with the industry's most advanced technology platform, encompassing sophisticated analytics, AI, intelligent automation and workflow orchestration.
Headquartered near Salt Lake City, Utah, R1 employs over 29,000 people globally.
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5
Data Science Analyst III
83756 Boise, Idaho
Simplot
Posted today
Job Viewed
Job Description
Data Science Analyst III
Location:
Boise, ID, US, 83702-6924
The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
**Summary**
The Data Science Analyst Expert is important to the execution of Simplot's Artificial Intelligence (AI) vision and the deployment of solutions that transform how we operate and make decisions. This role will bring together the capabilities of Data Science and AI with opportunities to enhance business capabilities beyond what humans can accomplish alone. The Analyst will assist in managing the delivery of AI solutions supporting multiple global business domains. The role assists in educating business partners AI governance policy and process to ensure safe and protected solutions are deployed. This is an individual contributor role that provides expertise managing requirements for technology solutions, and coordinates and influences the planning, execution, and continuous improvement of Data Science work.
Must be currently residing in local Boise, ID region to be considered.
**Key Responsibilities**
+ Facilitates sessions with the business to define moderately complex AI use cases.
+ Capture and document product functional requirements from business partners, including new features and enhancements. Regularly obtain feedback from business owners and stakeholders to confirm requirements are met prior to deployment. Manage requirements throughout product lifecycle
+ Defines test cases based on specific business use cases. Coordinates UAT with team members and business partners.
+ Demonstrates technical and non-technical expertise with foundational data management or machine learning/AI knowledge and skills, and exerts influence within the immediate team.
+ Facilitates and/or performs data quality management and remediation, including basic to moderately complex data profiling and data cleansing activities with business SMEs.
+ Participates in the delivery of solutions to moderately complex or complex problems.
+ Represents team to business partners.
+ Consults with team members and other organizations, business partners, and vendors on complex issues.
+ Expertise with internal standards and policies relevant to AI and data science. Assists the business in assessing risks and applying standards and policies.
+ May complete configuration of AI solutions individually in low-code environments, or through more junior analysts or vendors.
**Typical Education**
Bachelor's degree required, equivalent education and experience may be considered
**Relevant Experience**
3-8 years of experience
**Required Certifications**
**Other Information**
+ General understanding of data science and/or analytics product lifecycle.
+ Intermediate skills in requirements gathering, defining use cases, synthesizing research, and creating documentation.
+ Participation in one or more full product release cycles.
+ Good verbal and written communication skills; ability to work effectively in a geographically dispersed team.
+ Intermediate understanding of software configuration, design, testing and implementation practices.
+ Intermediate understanding of information security procedures and practices and data management practices.
+ Understanding of basic data modeling and preparation.
+ Basic to intermediate understanding or experience with data preparation, visualization, analysis, or AI solution development using no or low-code technologies, or common programming languages (e.g., Power BI, SQL, Python, Azure services).
+ Strong meeting planning and facilitation skills.
+ Intermediate understanding of standard business processes; ability to align product scope with business objectives.
**Job Requisition ID** : 22769
**Travel Required** :
**Location(s)** : Simplot Headquarters - Boise
**Country:** United States
***The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. ***
Location:
Boise, ID, US, 83702-6924
The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
**Summary**
The Data Science Analyst Expert is important to the execution of Simplot's Artificial Intelligence (AI) vision and the deployment of solutions that transform how we operate and make decisions. This role will bring together the capabilities of Data Science and AI with opportunities to enhance business capabilities beyond what humans can accomplish alone. The Analyst will assist in managing the delivery of AI solutions supporting multiple global business domains. The role assists in educating business partners AI governance policy and process to ensure safe and protected solutions are deployed. This is an individual contributor role that provides expertise managing requirements for technology solutions, and coordinates and influences the planning, execution, and continuous improvement of Data Science work.
Must be currently residing in local Boise, ID region to be considered.
**Key Responsibilities**
+ Facilitates sessions with the business to define moderately complex AI use cases.
+ Capture and document product functional requirements from business partners, including new features and enhancements. Regularly obtain feedback from business owners and stakeholders to confirm requirements are met prior to deployment. Manage requirements throughout product lifecycle
+ Defines test cases based on specific business use cases. Coordinates UAT with team members and business partners.
+ Demonstrates technical and non-technical expertise with foundational data management or machine learning/AI knowledge and skills, and exerts influence within the immediate team.
+ Facilitates and/or performs data quality management and remediation, including basic to moderately complex data profiling and data cleansing activities with business SMEs.
+ Participates in the delivery of solutions to moderately complex or complex problems.
+ Represents team to business partners.
+ Consults with team members and other organizations, business partners, and vendors on complex issues.
+ Expertise with internal standards and policies relevant to AI and data science. Assists the business in assessing risks and applying standards and policies.
+ May complete configuration of AI solutions individually in low-code environments, or through more junior analysts or vendors.
**Typical Education**
Bachelor's degree required, equivalent education and experience may be considered
**Relevant Experience**
3-8 years of experience
**Required Certifications**
**Other Information**
+ General understanding of data science and/or analytics product lifecycle.
+ Intermediate skills in requirements gathering, defining use cases, synthesizing research, and creating documentation.
+ Participation in one or more full product release cycles.
+ Good verbal and written communication skills; ability to work effectively in a geographically dispersed team.
+ Intermediate understanding of software configuration, design, testing and implementation practices.
+ Intermediate understanding of information security procedures and practices and data management practices.
+ Understanding of basic data modeling and preparation.
+ Basic to intermediate understanding or experience with data preparation, visualization, analysis, or AI solution development using no or low-code technologies, or common programming languages (e.g., Power BI, SQL, Python, Azure services).
+ Strong meeting planning and facilitation skills.
+ Intermediate understanding of standard business processes; ability to align product scope with business objectives.
**Job Requisition ID** : 22769
**Travel Required** :
**Location(s)** : Simplot Headquarters - Boise
**Country:** United States
***The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. ***
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6
Senior Data Science Analyst
83756 Boise, Idaho
Simplot
Posted today
Job Viewed
Job Description
Senior Data Science Analyst
Location:
Boise, ID, US, 83702-6924
The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
**Summary**
The Data Science Analyst Master is important to the execution of Simplot's Artificial Intelligence (AI) vision and the deployment of solutions that transform how we operate and make decisions. This role will bring together the capabilities of Data Science and AI with opportunities to enhance business capabilities beyond what humans can accomplish alone. The Analyst will manage the delivery of complex AI solutions supporting multiple global business domains. The role upholds and shapes AI governance policy and process to ensure safe and protected solutions are deployed. This is an individual contributor role that provides expertise managing requirements for complex technology solutions, and leads and influences the planning, execution, and continuous improvement of Data Science work.
**Key Responsibilities**
+ Facilitates sessions with the business to define moderately to highly complex AI use cases.
+ Capture and document product functional requirements from business partners, including new products, features and enhancements. Regularly obtain feedback from business owners and stakeholders to confirm requirements are met prior to deployment. Manage requirements throughout product lifecycle.
+ Defines test cases based on specific business use cases. Manages UAT with team members and business partners.
+ Demonstrates technical and non-technical leadership with foundational data management or machine learning/AI knowledge and skills, and exerts influence outside of immediate team.
+ Facilitates and/or performs data quality management and remediation, including basic to highly complex data profiling and data cleansing activities with business SMEs.
+ Participates in the delivery of solutions to complex problems.
+ Contributes to strategic direction for data science product delivery teams.
+ Represents team to business partners.
+ Influences and consults with team members and other organizations, business partners, and vendors on complex issues.
+ Expertise with internal standards and policies relevant to AI governance and data science. Assists the business in assessing risks and applying standards and policies.
+ May direct other employees or vendors in configuration design and implementation tasks.
**Typical Education**
Bachelor's degree required, equivalent education and experience may be considered
**Relevant Experience**
8+ years of experience
**Required Certifications**
**Other Information**
+ General leadership and influencing skills with data science and/or analytics product lifecycle management and development.
+ Advanced skills in requirements gathering, defining use cases, synthesizing research, and creating documentation.
+ Participation in one or more full product release cycles. Excellent verbal and written communication skills; ability to work effectively in a geographically dispersed team.
+ Advanced understanding of software configuration, design, testing and implementation practices.
+ Advanced understanding of information security procedures and practices and data management practices.
+ Good understanding of data modeling and preparation.
+ Intermediate to advanced understanding or experience with data preparation, visualization, analysis, or AI solution development using no or low-code technologies, or common programming languages (e.g., Power BI, SQL, Python, Azure services).
+ Strong meeting planning and facilitation skills.
+ Intermediate to advanced understanding of standard business processes; strong ability to align product scope with business objectives.
+ Knowledge of approaches, tools and techniques for anticipating, recognizing, and resolving technical (hardware, software, application or operational) problems as applicable.
**Job Requisition ID** : 22768
**Travel Required** :
**Location(s)** : Simplot Headquarters - Boise
**Country:** United States
***The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. ***
Location:
Boise, ID, US, 83702-6924
The J.R. Simplot Company is a diverse, privately held global food and agriculture company headquartered in Boise, Idaho. We are a true farm-to-table company with an integrated portfolio including food processing and food brands, phosphate mining, fertilizer manufacturing, farming, ranching and cattle production, and other enterprises related to agriculture.
**Summary**
The Data Science Analyst Master is important to the execution of Simplot's Artificial Intelligence (AI) vision and the deployment of solutions that transform how we operate and make decisions. This role will bring together the capabilities of Data Science and AI with opportunities to enhance business capabilities beyond what humans can accomplish alone. The Analyst will manage the delivery of complex AI solutions supporting multiple global business domains. The role upholds and shapes AI governance policy and process to ensure safe and protected solutions are deployed. This is an individual contributor role that provides expertise managing requirements for complex technology solutions, and leads and influences the planning, execution, and continuous improvement of Data Science work.
**Key Responsibilities**
+ Facilitates sessions with the business to define moderately to highly complex AI use cases.
+ Capture and document product functional requirements from business partners, including new products, features and enhancements. Regularly obtain feedback from business owners and stakeholders to confirm requirements are met prior to deployment. Manage requirements throughout product lifecycle.
+ Defines test cases based on specific business use cases. Manages UAT with team members and business partners.
+ Demonstrates technical and non-technical leadership with foundational data management or machine learning/AI knowledge and skills, and exerts influence outside of immediate team.
+ Facilitates and/or performs data quality management and remediation, including basic to highly complex data profiling and data cleansing activities with business SMEs.
+ Participates in the delivery of solutions to complex problems.
+ Contributes to strategic direction for data science product delivery teams.
+ Represents team to business partners.
+ Influences and consults with team members and other organizations, business partners, and vendors on complex issues.
+ Expertise with internal standards and policies relevant to AI governance and data science. Assists the business in assessing risks and applying standards and policies.
+ May direct other employees or vendors in configuration design and implementation tasks.
**Typical Education**
Bachelor's degree required, equivalent education and experience may be considered
**Relevant Experience**
8+ years of experience
**Required Certifications**
**Other Information**
+ General leadership and influencing skills with data science and/or analytics product lifecycle management and development.
+ Advanced skills in requirements gathering, defining use cases, synthesizing research, and creating documentation.
+ Participation in one or more full product release cycles. Excellent verbal and written communication skills; ability to work effectively in a geographically dispersed team.
+ Advanced understanding of software configuration, design, testing and implementation practices.
+ Advanced understanding of information security procedures and practices and data management practices.
+ Good understanding of data modeling and preparation.
+ Intermediate to advanced understanding or experience with data preparation, visualization, analysis, or AI solution development using no or low-code technologies, or common programming languages (e.g., Power BI, SQL, Python, Azure services).
+ Strong meeting planning and facilitation skills.
+ Intermediate to advanced understanding of standard business processes; strong ability to align product scope with business objectives.
+ Knowledge of approaches, tools and techniques for anticipating, recognizing, and resolving technical (hardware, software, application or operational) problems as applicable.
**Job Requisition ID** : 22768
**Travel Required** :
**Location(s)** : Simplot Headquarters - Boise
**Country:** United States
***The J.R. Simplot Company is proud to be an Equal Opportunity Employer and will consider all qualified applicants for employment without regard to race, color, religion, national origin, ancestry, age, sex, gender, gender identity, gender expression, genetic information, physical or mental disability, medical condition, sexual orientation, military or veteran status, marital status, or any other protected status. ***
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7
Data Science Manager, Monetization
83756 Boise, Idaho
Meta
Posted today
Job Viewed
Job Description
**Summary:**
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
As a Data Science Manager at Meta, you will play a key role in shaping the future of experiences for billions of people and hundreds of millions of businesses worldwide. You will apply your leadership, project management, analytical, technical, creative, and product intuition skills to one of the largest data sets globally. Your primary focus will be on driving impact through quality, efficiency, and velocity by collaborating with cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance, and others.You will use data to understand product and business ecosystems, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will guide product teams using data and insights, develop hypotheses, and employ rigorous analytical approaches to test them. Additionally, you will tell data-driven stories, convince and influence leaders using clear insights and recommendations, and build credibility as a trusted strategic partner.As a leader, you will inspire, lead, and grow a world-class team of data scientists and data science leaders. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
**Required Skills:**
Data Science Manager, Monetization Responsibilities:
1. Drive analytics projects end-to-end in partnership with cross-functional teams to inform and execute product strategy and investment decisions
2. Inspire, lead, and grow a team of data scientists and managers to fulfill long-term vision and goals
3. Actively influence the design of strategy and roadmap within scope, generating and using team insights to set and prioritize longer-term goals
4. Develop understanding of complex systems, industry challenges, and broader trends to identify present and future risks and opportunities
5. Work with large and complex data sets to solve challenging problems using different analytical and statistical approaches
6. Grow analytics expertise around you, upskilling your team, engineers, and others to increase overall team impact
7. Define key metrics for measuring model effectiveness and drive insight to action by identifying focus areas and opportunities to accelerate performance
8. Partner with cross-functional teams to achieve ambitious long-term goals, monitoring performance against growth goals and building experimentation rigor
9. Shape the strategic direction of growth initiatives, investing in data foundations and analytical methods to sharpen understanding of growth levers
**Minimum Qualifications:**
Minimum Qualifications:
10. BS degree in a quantitative discipline (e.g., statistics, operations research, econometrics, computer science, engineering), or BS/MS in a quantitative discipline with equivalent working experience
11. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field doing quantitative analysis, statistical modeling or machine learning in the experimentation space, including including 2+ years of experience managing analytics teams
12. 5+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
13. Proven track record of leading high-performing analytics teams
14. Experience communicating both in low-level technical details as well as high-level strategies
15. Track-record driving product roadmap and execution
16. Experience in cross-functional partnership among teams of Engineering, Design, PM, Data Engineering
**Preferred Qualifications:**
Preferred Qualifications:
17. Proven track record of leading analytics teams that deliver on multiple projects or programs across regions or business groups
18. A minimum of 2 years of experience working on consumer-facing products
19. 10+ years of experience with quantitative analysis, statistical modeling, or machine learning in the experimentation space
20. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field
**Public Compensation:**
$206,000/year to $281,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
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8
Data Science Manager, Analytics
83756 Boise, Idaho
Meta
Posted today
Job Viewed
Job Description
**Summary:**
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager, Analytics Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to senior leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
14. Experience working in technology, consulting, or finance.
15. Proven track record of leading high-performing analytics teams.
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
As a Data Science Manager at Meta, you will help shape the future of the experiences we build for billions of people and hundreds of millions of businesses, creators, and partners around the world.You will apply your people leadership, project management, analytical, and technical skills, creativity, and product intuition to one of the largest data sets in the world. You will collaborate on a wide array of product and business problems with a wide-range of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will influence product strategy and investment decisions with data, be focused on impact, and lead and grow a high-performing team. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.About the role:Product leadership: You will use data to understand the product and business ecosystem, quantify new opportunities, identify upcoming challenges, and shape product development to bring value to people, businesses, and Meta. You will help develop strategy and support leadership in prioritizing what to build and setting goals for execution.Analytics: You will guide product teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence leaders using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.People leadership: You will inspire, lead and grow a world-class team of data scientists and data science leaders.
**Required Skills:**
Data Science Manager, Analytics Responsibilities:
1. Lead a team of data scientists to develop strategies for our products that serve billions of people and hundreds of millions of businesses, creators, and partners around the world
2. Drive analytics projects end-to-end in partnership with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions
3. Influence product direction through clear and compelling presentations to leadership
4. Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches
5. Identify and measure success of product efforts through goal setting, forecasting, and monitoring of key product metrics to understand trends
6. Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations
7. Contribute towards advancing the Data Science discipline at Meta, including but not limited to driving data best practices (e.g. analysis, goaling, experimentation), improving analytical processes, scaling knowledge and tools, and mentoring other data scientists
**Minimum Qualifications:**
Minimum Qualifications:
8. Currently has, or is in the process of obtaining, a Bachelor's degree or equivalent practical experience. Degree must be completed prior to joining Meta
9. A minimum of 4 years of work experience (2+ years with a Ph.D.) in applied analytics, including a minimum of 2 years of experience managing analytics teams
10. Experience with data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)
11. Experience initiating and completing analytical projects with minimal guidance
12. Experience communicating results of analysis to senior leadership
**Preferred Qualifications:**
Preferred Qualifications:
13. Master's or Ph.D. degree in Mathematics, Statistics, Computer Science, Engineering, Economics, or another quantitative field.
14. Experience working in technology, consulting, or finance.
15. Proven track record of leading high-performing analytics teams.
**Public Compensation:**
$173,000/year to $242,000/year + bonus + equity + benefits
**Industry:** Internet
**Equal Opportunity:**
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at
View Now
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