1218 Data Science jobs in Stanford
Data Science Engineer
Posted 5 days ago
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Job Description
About Us GridCARE is a leading venture-backed startup solving the most critical bottleneck in AI’s growth trajectory: immediate access to power. While leading tech companies invest billions in speculative long-term solutions, GridCARE’s pioneering physics-based generative AI platform and a unique go-to-market strategy in partnership with utilities enables AI data center developers to unlock and secure gigawatts of immediate power capacity from today’s grid. Founded at Stanford’s Doerr School and led by a third time-founder with successful exits, GridCARE has assembled an unmatched team of electric grid and AI experts. Work at the intersection of the world’s most important trends: AI, energy, and infrastructure. Partner with leading hyperscalers, developers, and electric utilities on mission-critical projects. Help shape a smarter, faster, and more resilient energy future for digital infrastructure. Competitive compensation, equity, and benefits in a fast-growth company. Hybrid work environment with 3 days/week in our Redwood City office. Job Description As a Data Science Engineer , you will work closely with our talented team of power system, AI, data science, and software engineers to develop and implement AI-driven solutions to improve the interconnection process. This is a unique opportunity to gain hands-on experience in applying AI to real-world energy challenges while contributing to the energy transition. Responsibilities Develop and optimize machine learning models for energy-related applications. Analyze, process, and visualize large datasets, including time series and geospatial data. Write clean, maintainable, and well-documented code, and participate in code reviews to ensure adherence to coding standards and best practices. Collaborate with backend developers to implement cloud-hosting and integrate services into applications. Qualifications Proficiency in Python and common data science libraries. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch, XGBoost). Familiarity with data preprocessing, feature engineering, and model evaluation. Understanding of supervised and unsupervised learning algorithms. Experience working with large datasets, including time series and structured data. Experience with RESTful APIs integrated into backend services. Familiarity with version control systems (Git). Strong problem-solving skills and attention to detail. Excellent communication and collaboration skills. Ability to work independently and in a team-oriented environment. Preferred Qualifications: Familiarity with energy systems, electric grid data, or renewable energy technologies. Experience with geospatial data analysis (e.g., using GeoPandas or QGIS). Experience with cloud computing platforms (e.g., AWS, Azure) for model deployment. Familiarity with Agile/Scrum methodologies. #J-18808-Ljbffr
Data Science Lead
Posted 20 days ago
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Data Science Lead
Description -
Job Summary
•This role is responsible for overseeing a team of machine learning engineers and data scientists, guiding the development of machine learning models, and aligning them with business goals. The Data Science Lead designs and builds robust models to support business decisions and strategies. The role triages new AI/ML use cases and formulates a plan for delivery. The role communicates technical development progress, challenges, and outcomes to stakeholders and senior management. The role provides technical guidance and mentorship to team members and fosters a culture of continuous professional growth.
Responsibilities
•Provides direct and ongoing leadership for a team of individual contributors that design, deploy, maintain and monitor machine learning models, pipelines, and systems.
•Collaborates with business stakeholders to understand use cases, user experience requirements, and goals. Then establishes development plans commensurate with these requirements.
•Oversees end-to-end machine learning model lifecycle, from data collection and preprocessing to model selection and optimization, to deployment and ongoing maintenance.
•Drives the selection and application of appropriate machine learning algorithms, techniques, tools, and CI/CD pipelines.
•Manages headcount, deliverables, schedules, and costs for multiple ongoing products, ensuring that resources are appropriately allocated, and that goals, objectives, timelines, and budgets are met in accordance with program and organizational roadmaps.
•Communicates technical development status and escalates issues to direct managers, program managers, and internal and external development partners.
•Manages relationships with internal and external partners, including setting expectations regarding deliverables, product quality, schedules, and costs; ensures that team members are effectively communicating and collaborating.
•Regularly evaluates and considers new applications, use cases, and proofs of concept to keep the organization at the forefront of AI and ML technology.
•Provides people-care management for assigned team members, including hiring, setting and monitoring of annual performance plans, coaching, and career development.
•Ensures that proper knowledge and career development tools are in place to support ongoing team member and process development.
Education & Experience Recommended
•Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate work experience or demonstrated competence.
•Typically has 7-10 years of job-related experience or 5-7 years of management experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field.
Preferred Experience
•Developing Generative AI solutions
•Experience deploying Deep Learning Neural Network Models
Knowledge & Skills
•Agile Methodology
•Algorithms
•Generative Pretrained Transformers
•Apache Spark
•Artificial Intelligence
•Automation
•Reinforcement Learning
•Computer Science
•Data Science
•Deep Learning
•Machine Learning
•Microsoft Azure
•Natural Language Processing
•Python (Programming Language)
•PyTorch (Machine Learning Library)
•Scikit-learn (Machine Learning Library)
•Software Engineering
•TensorFlow
Cross-Org Skills
•Customer Centricity
•Prioritization
•Resilience
•Team Management
•Strategic Thinking
Impact & Scope
•Impacts function and leads projects requiring understanding of multiple disciplines or areas of HP.
Complexity
•Uses managerial concepts and company objectives to resolve issues in creative and effective ways.
Disclaimer
•This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
Software
Schedule -
Full time
Shift -
Shift 1, 0% premium (United States of America)
Travel -
25%
Relocation -
No
Equal Opportunity Employer (EEO) -
HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
If you'd like more information about HP's EEO Policy or your EEO rights as an applicant under the law, please click here: Equal Employment Opportunity is the Law Equal Employment Opportunity is the Law - Supplement
Data Science Manager
Posted today
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Job Description
We are seeking experienced Managers of Data Science to lead Data Science teams that drive strategic insights, operational support and data foundations across multiple domains that merge AI solutions (e.g., AI Agents, LLM-generated labels for model training and evals, LLM-based content moderation) and Human-provided solutions (e.g., Customer Support Agents, Human-generated labels for training and evals, and Human-driven content moderation). In this role, you will be responsible for developing and executing a data strategy for evaluating model and human performance against incoming requirements, inclusive of quality, speed, and cost dimensions. You'll be critical to driving customer satisfaction, protecting voice, reducing harm, retaining millions of users and billions in revenue, and driving down operational costs. You will work closely with cross-functional teams to identify opportunities, design experiments, and help develop AI and automation solutions.
**Required Skills:**
Data Science Manager Responsibilities:
1. Labeling spend management: Inform and drive multi-billion spend management and optimizations
2. develop and execute a comprehensive data science strategy that aligns with the organization's overall goals and objectives
3. Labeling delivery performance: Inform and drive labeling performance improvements and optimizations in an evolving mix of AI-generated labels and Human-generated labels
4. Customer support performance: Inform and drive customer support performance improvements and optimizations in an evolving mix of AI Agents and Human Agents
5. develop and execute a comprehensive data science strategy for evolving the role of AI and human experts in providing industry leading customer support
6. High Data Science Bar: Grow and manage a high-performing Data Science team that remains agile and impactful under a high degree of uncertainty during technological transformations
7. Collaboration: Collaborate closely with Directors and VP level stakeholders in a highly-matrixed organization dynamics
**Minimum Qualifications:**
Minimum Qualifications:
8. 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
9. A minimum of 7 years of work experience (3+ years with a Ph.D.) in applied quantitative field, including + years of experience managing analytics teams
10. 7+ years of experience in a team leadership role, including 2+ years of experience with people management through layers
11. Experience communicating both in low-level technical details as well as high-level strategies
12. Experience in cross-functional partnership among teams of Engineering, Design, Product Management, Data Engineering
13. Experience with driving product roadmap and execution
**Preferred Qualifications:**
Preferred Qualifications:
14. Expertise in AI Agentic solutions, LLM performance and evals
15. Interest in an ecosystem role that will encompass a well-defined but broad set of initiatives (e.g., budget management, operational efficiency, and customer support performance)
16. Communication skills in VP-level leadership forums
**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
Data Science Director
Posted today
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Job Description
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
Data Science Director
Posted today
Job Viewed
Job Description
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
Director, Data Science
Posted today
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Job Description
**What you'll do.**
The Director of ML Research & Governance will lead the strategic vision and execution of machine learning research, model governance, and anomaly detection initiatives within the fraud prevention domain. This role is pivotal in shaping how ML models are developed, validated, monitored, and governed across the enterprise to ensure robust, ethical, and high-impact fraud detection capabilities. The ideal leader will combine deep expertise in ML research with a strong governance mindset, driving innovation while safeguarding model integrity, fairness, and compliance.
Key Responsibilities
· Leadership & Team Development
o Build and scale a multidisciplinary ML research and governance team, comprising research scientists, data analysts, and ML governance specialists.
o Mentor and develop team members, fostering a culture of scientific rigor, innovation, collaboration, and accountability.
o Define clear roles, responsibilities, and success metrics aligned with organizational goals.
· Strategic Vision & Roadmap
o Develop and own the long-term roadmap for ML research, model governance frameworks, and anomaly detection systems focused on fraud risk.
o Align ML governance initiatives with regulatory requirements, ethical AI principles, and industry best practices.
o Lead cross-functional partnerships with product, engineering, data science, compliance, and legal teams to embed governance into every stage of the ML lifecycle.
· Advanced ML Research & Innovation
o Drive cutting-edge research into emerging ML techniques such as agentic AI, semi-supervised learning, self-learning classifiers, and anomaly detection tailored to evolving fraud patterns.
o Collaborate with core ML/AI research organizations internally and externally to adopt state-of-the-art methodologies and tools.
o Lead prototyping and experimentation efforts to evaluate new AI capabilities and integrate them into fraud workflows.
· Model Governance & Risk Management
o Design and implement comprehensive model governance frameworks that cover model development, validation, deployment, monitoring, drift detection, explainability, and risk mitigation.
o Establish automated monitoring dashboards and alerting mechanisms for real-time anomaly and risk detection.
o Lead initiatives to ensure transparency, fairness, bias mitigation, and accountability in all deployed models.
o Drive continuous improvement in model lifecycle processes to enhance accuracy, reliability, and compliance with evolving standards.
· Operational Excellence & Collaboration
o Partner closely with Data Science, Solutions Engineering, and Platform teams to operationalize ML research outputs into scalable and maintainable production systems.
o Collaborate with internal audit, compliance, and external regulators to provide necessary documentation and evidence of governance practices.
o Influence organizational culture toward responsible AI adoption and continuous governance maturity.
· Thought Leadership & Industry Engagement
o Represent the organization in industry forums, academic partnerships, and regulatory discussions related to AI governance and fraud detection research.
o Publish research findings, contribute to whitepapers, and present at conferences to establish the company as a leader in ML governance for fraud prevention.
o Stay abreast of emerging trends in AI ethics, model governance, and fraud technology to proactively guide organizational strategy.
Qualifications
· 12+ years of experience in machine learning research, data science, or a related field, with at least 5 years in a leadership role driving ML governance, risk management, or fraud-related analytics is preferred.
· Strong technical expertise in advanced ML techniques including supervised, semi-supervised, and unsupervised learning, anomaly detection, explainable AI, and continual learning.
· Proven track record in building and operationalizing ML governance frameworks at scale, preferably in fraud prevention, financial services, or highly regulated industries.
· Deep understanding of ethical AI principles, bias mitigation strategies, and regulatory compliance
· Experience collaborating with cross-functional teams including legal, compliance, engineering, and product management.
· Exceptional communication skills with the ability to translate complex technical concepts into business impact and governance narratives.
· Advanced degree (PhD preferred) in Computer Science, Statistics, Machine Learning, or a related quantitative discipline.
At Walmart, we offer competitive pay as well as performance-based bonus awards and other great benefits for a happier mind, body, and wallet. Health benefits include medical, vision and dental coverage. Financial benefits include 401(k), stock purchase and company-paid life insurance. Paid time off benefits include PTO (including sick leave), parental leave, family care leave, bereavement, jury duty, and voting. Other benefits include short-term and long-term disability, company discounts, Military Leave Pay, adoption and surrogacy expense reimbursement, and more.
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You will also receive PTO and/or PPTO that can be used for vacation, sick leave, holidays, or other purposes. The amount you receive depends on your job classification and length of employment. It will meet or exceed the requirements of paid sick leave laws, where applicable.
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For information about PTO, see .
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Live Better U is a Walmart-paid education benefit program for full-time and part-time associates in Walmart and Sam's Club facilities. Programs range from high school completion to bachelor's degrees, including English Language Learning and short-form certificates. Tuition, books, and fees are completely paid for by Walmart.
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Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to a specific plan or program terms.
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For information about benefits and eligibility, see One.Walmart ( .
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The annual salary range for this position is $169,000.00-$338,000.00
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Additional compensation includes annual or quarterly performance bonuses.
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Additional compensation for certain positions may also include:
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- Stock
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**Minimum Qualifications.**
_Outlined below are the required minimum qualifications for this position. If none are listed, there are no minimum qualifications._
Option 1: Bachelors degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 6 years' experience in an analytics related field.
Option 2: Masters degree in Statistics, Economics, Analytics, Mathematics, Computer Science, Information Technology or related field and 4 years' experience in an analytics related field.
Option 3: 8 years' experience in an analytics or related field
**Preferred Qualifications.**
_Outlined below are the optional preferred qualifications for this position. If none are listed, there are no preferred qualifications._
Data science, machine learning, optimization models, PhD in Machine Learning, Computer Science, Information Technology, Operations Research, Statistics, Applied Mathematics, Econometrics, Successful completion of one or more assessments in Python, Spark, Scala, or R, Supervisory experience, Using open source frameworks (for example, scikit learn, tensorflow, torch), We value candidates with a background in creating inclusive digital experiences, demonstrating knowledge in implementing Web Content Accessibility Guidelines (WCAG) 2.2 AA standards, assistive technologies, and integrating digital accessibility seamlessly. The ideal candidate would have knowledge of accessibility best practices and join us as we continue to create accessible products and services following Walmart's accessibility standards and guidelines for supporting an inclusive culture.
**Primary Location.**
840 W California Ave, Sunnyvale, CA 94086-4828, United States of America
Walmart, Inc. is an Equal Opportunity Employer- By Choice. We believe we are best equipped to help our associates, customers, and the communities we serve live better when we really know them. That means understanding, respecting, and valuing diversity- unique styles, experiences, identities, abilities, ideas and opinions- while being inclusive of all people.
Data Science Manager
Posted today
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Job Description
+ Address client's operational challenges by using big data and providing new insights from advanced predictive and optimization models.
+ Collect big data from disparate data sources by interacting with the client's IT team.
+ Design models, algorithms, and visualizations that will help companies distill insights from huge volumes of chaotic data.
+ Interpret analytical models, conduct analysis to gain insights into the root of the clients' business problem, propose potential solutions to their problems, and assist in quantifying improvements in their operations and supply chain metrics.
+ Create high impact business strategies and roadmaps for solution implementation, to help clients reap the benefits of big data analytics on an ongoing basis.
+ Supervise a team of analysts and consultants to gather data across multiple systems, and interpret clients' problem and convert them into analytical solutions.
+ Conduct project and issue management (status reporting, issue reporting, budget reporting) for assigned scope of work, and make decisions that impact the team through regular consultation with senior management.
+ Adhere to strategic direction set by senior management. Interact with client and internal senior management on a regular basis.
BASIC QUALIFICATIONS:
Must have a bachelor's degree in Computer Science, Technology, Computer Information Systems, Computer Applications, Engineering, Statistics, Mathematics, Finance, Accounting, Business Administration, or a related field, plus 5 years of progressive post-baccalaureate experience in the IT consulting industry.Must have 5 years of experience in each of the following:
+ Conducting data wrangling, manipulations, and analysis utilizing Python, SQL, Oracle, Pandas, Talend, PySpark, Hadoop, or SAS;
+ Planning, designing, developing, and deploying analytical solutions utilizing Python, Spark, or SAS;
+ Implementing machine learning algorithms, including linear, logistic, Support Vector Machines (SVM), Random Forest, and gradient boosting utilizing SAS and Python;
+ Utilizing forecasting techniques, including moving average, exponential smoothing, ARIMA, SARIMA, linear optimization, and Natural language processing;
+ Implementing end-to-end data visualization solutions utilizing Tableau, Power BI, or SAS;
+ Providing IT services to client in the Retail, Banking, Telecommunications, or Media industry; and
+ Utilizing public clouds, including AWS, Azure, or GCP, to build Machine Learning models.
Must have 3 years of experience supervising and guiding a group of data scientists.Must have willingness and ability to travel domestically approximately 80% of the time to meet client needs.
To apply, please click the 'APPLY' button.
Pursuant to?the California Transparency Bill,?the offered wage for this?role?is $211,536.00 per year.
#LI-DNI #IND-DNI
What We Believe
We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values. Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities. Read more here ( Employment Opportunity Statement
Accenture is an Equal Opportunity Employer. We believe that no one should be discriminated against because of their differences, such as age, disability, ethnicity, gender, gender identity and expression, religion or sexual orientation.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Accenture is committed to providing veteran employment opportunities to our service men and women.
For details, view a copy of the Accenture Equal Employment Opportunity and Affirmative Action Policy Statement ( .
Requesting An Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs for a disability or religious observance, please call us toll free at 1 ( , send us an email ( or speak with your recruiter.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
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Sr Data Science Engineer
Posted today
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JOB LEVEL P40 EMPLOYEE ROLE Individual Contributor The Opportunity Use your expertise in data engineering to build next generation analytical capabilities at Adobe. The Customer Analytics & GTM team is passionate about using the power of data to deliver optimized experiences through personalization. This role will drive data engineering for large-scale data science initiatives across a wide variety of strategic projects. As a member of the Data Science Engineering team, you will have significant responsibility to help build large scale cloud-based data and analytics platforms with enterprise-wide consumers. This role is inherently multi-functional, and the ideal candidate will work across teams. The position requires an ability to own projects, come up with innovative solutions, try new tools and technologies, and possess an entrepreneurial personality. Come join us for a truly exciting career, best benefits, and outstanding work-life balance! What you will do Build fault-tolerant, scalable, quality data pipelines using multiple cloud-based tools. Develop analytical and personalization capabilities using modern and powerful technologies by bringing to bear Adobe tools. Build LLM agents to optimize and automate data pipelines following the best engineering practices. Deliver End to End Data Pipelines to run Machine Learning Models in a production platform. Provide innovative solutions to help the organization take significant actions fast and efficiently. Contribute to data engineering and data science frameworks, tools, and processes. Implement exceptional data operations and standard methodologies to efficiently use resources. Architect data ingestion, data transformation, data consumption, and data governance frameworks. Help build production-grade ML models and integrate with operational systems. Collaborate extensively with global multi-functional operations teams to onboard customers to use genuine software. Work in a collaborative environment and contribute to the team as well as the organization’s success. What you will need Bachelor’s degree in computer science or equivalent. Preference given to candidates with a graduate degree or equivalent experience. 8+ years of consistent track record as a data engineer. 3+ years of experience with mobile data, App Store Optimization (ASO), and building data pipelines for in-app purchases, paywall impressions, tracking, and app crashes. 5+ years of experience with distributed data technologies such as Hadoop, Hive, Presto, and Spark. 3+ years of experience with cloud-based technologies like Databricks, S3, Azure Blob Storage, AWS EMR, Athena, and Glue. 2+ years of experience with streaming data ingestion and transformation using Kafka, Kinesis, etc. Outstanding SQL experience and ability to write optimized SQLs across platforms. Proven hands-on experience in Python/PySpark/Scala and ability to manipulate data using Pandas, NumPy, Koalas, etc. Experience crafting large-scale distributed data platforms. Experience with CI/CD tools such as GitHub and Jenkins. Working experience with open-source orchestration tools like Apache Airflow or Azkaban. Excellent communication and teamwork skills. Hands-on experience with Elastic Stack (Elastic, Logstash, Kibana) and graph databases (neo4j, Neptune, etc.) is highly desired. Experience with ML algorithms and frameworks like Keras, TensorFlow, PyTorch, XGBoost, Linear Regression, Classification, Random Forest, Clustering, MLflow, etc. Nice to have Showcase your work if you are an open-source contributor. Passion for contributing to the open-source community is highly valued. Experience with data governance tools like Collibra and collaboration tools like JIRA/Confluence. Familiarity with Adobe tools like Adobe Experience Platform, Adobe Analytics, Customer Journey Analytics, and Adobe Journey Optimizer is a plus. Experience with LLM models/agentic workflows using Copilot, Claude, LLAMA, Databricks Genie, etc. is highly preferred. Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. The U.S. pay range for this positionis $128,600 -- $234,200 annually. Paywithin this range varies by work locationand may also depend on job-related knowledge, skills,and experience. Your recruiter can share more about the specific salary range for the job location during the hiring process. At Adobe, for sales roles starting salaries are expressed as total target compensation (TTC = base + commission), and short-term incentives are in the form of sales commission plans. Non-sales roles starting salaries are expressed as base salary and short-term incentives are in the form of the Annual Incentive Plan (AIP). In addition, certain roles may be eligible for long-term incentives in the form of a new hire equity award. State-Specific Notices: California : Fair Chance Ordinances Adobe will consider qualified applicants with arrest or conviction records for employment in accordance with state and local laws and “fair chance” ordinances. Colorado: Application Window Notice If this role is open to hiring in Colorado (as listed on the job posting), the application window will remain open until at least the date and time stated above in Pacific Time, in compliance with Colorado pay transparency regulations. If this role does not have Colorado listed as a hiring location, no specific application window applies, and the posting may close at any time based on hiring needs. Massachusetts: Massachusetts Legal Notice It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. Internal Opportunities Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We’re glad that you’re pursuing a new opportunity at Adobe! Put your best foot forward: 1. Update your Resume/CV and Workday profile – don’t forget to include your uniquely ‘Adobe’ experiences and volunteer work. 2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you’re interested in. 3. Check out these tips to help you prep for interviews. 4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll . Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth. At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you’re looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer. Adobe is proud to be an Equal Employment Opportunity employer. We do not discriminate based on gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other applicable characteristics protected by law. Learn more. Adobe aims to make Adobe.com accessible to any and all users. If you have a disability or special need that requires accommodation to navigate our website or complete the application process, email or call ( . #J-18808-Ljbffr
Vice President, Data Science
Posted 4 days ago
Job Viewed
Job Description
DELFI Diagnostics, Inc. (DELFI Diagnostics) is developing next-generation, blood-based tests that are reliable, accessible and deliver a new way to help detect cancer. Employing advanced machine-learning methods to whole-genome sequencing data, the DELFI ("DNA EvaLuation of Fragments for early Interception") platform is built to address the highest-burden health challenges. DELFI Diagnostics prioritizes solutions that have the potential to save lives on a global scale, including for historically underserved populations. DELFI Diagnostics' platform relies on fragmentomics - the discovery that cancer cells are more chaotic than normal cells and, when they die, leave behind tell-tale patterns and characteristics of cell-free DNA (cfDNA) fragments. FirstLook Lung, for individuals eligible for lung cancer screening, is DELFI Diagnostics' first laboratory-developed screening test and can be part of routine blood work. FirstLook Lung uses millions of data points to reliably identify individuals who may have cancer detected through low-dose CT, including early stage disease with a negative predictive value of 99.8 percent. This test has not been cleared or approved by the FDA.
In our passionate pursuit to radically improve health outcomes, we serve humanity when we:
Lead with Science, Anchor in Pragmatism : We pioneer life-changing science by ensuring quality, transparency, and rigor at all times. We explore thoughtfully, experiment smartly, and deliver impact with conviction.
Build With & For All : We embrace diverse backgrounds to innovate and achieve together. We are not just building a product - we aim to disrupt the path of cancer for all - no matter geography or socioeconomic class
Put We over I : We are a home for high-performing people. Through teamwork, we build collective intelligence. Each of us wins when those we serve and those who serve with uswin. We show up with empathy, humility, and integrity at every step of the journey.
DELFI has 1-2 designated in-office working days each week for employees who live within within 50 miles of Palo Alto CA or Baltimore MD offices
The head of Data Science is an accomplished computational biologist who works at the interface of cancer biology, genetics, genomics, and machine learning, and manages a team of data scientists, computational biologists, and ML scientists. This role will collaborate closely with teams in bioinformatics/software pipeline development, assay, and biostatistics to develop cutting-edge algorithms to detect cancer from blood samples. Reporting to the CTO, you will work closely with commercial, clinical and laboratory leadership to understand the indications and requirements of diagnostic algorithms, and to deliver these. You will also continue to develop the state of the art in machine learning, as described below. This position requires expertise in computational science, cancer biology, team leadership, and strong communication skills. This role is an excellent fit for those who are decisive, proactive and bring a balance of high IQ and EQ.
What You'll Do
- Manage and lead a cross-functional team of data scientists, computational biologists, and bioinformatics engineers
- Oversee the development and delivery of cutting-edge machine learning algorithms to detect cancer from blood samples
- Collaborate with peers leading assay design & development, laboratory operations, and clinical development to substantively advance DELFIs R&D objectives
- Partner with IT & cybersecurity team lead to develop a 2-3 year technology roadmap, including in-house tooling for GenAI and ML infrastructure
- Represent DELFI externally at national and international conferences, and in strategic meetings with academic partners and governmental / regulatory bodies
- Required
- PhD (or MS and equivalent experience) in Computer Science, Computational Biology / Bioinformatics, Applied Mathematics, Statistics, Physics, or EE
- 10-15 years' experience with a wide variety of classical and modern methods used in machine learning and AI (unsupervised, semi-supervised, or supervised learning) as evidenced by strong publication record and/or algorithms released into production
- 3+ years expertise in developing transformer models, neural networks, and/or representation learning as applied to biological problems
- 5+ years expertise programming in Python/R including modern ML frameworks (Tensorflow, Pytorch, or Jax), production compute environments (AWS/Nvidia), and versioning principles for reproducible model-building and evaluation
- 10+ years of experience leading and managing teams exemplifying best practice in recruiting, team-building, employee performance management and career development, goal-setting, and cross-functional collaboration
- Superb written, verbal communication, and influencing and presentation skills, including the ability to communicate complex concepts succinctly to a variety of audiences
- Decisive, intellectually curious, proactive, and composed with a balance of high IQ and EQ
- Preferred
- 3+ years of experience working in biotech/pharma/diagnostics
- Expertise in explainable models, interpretability/white-box models, and federated learning
- Background or interest in cancer genomics, molecular biology, and the latest genotyping and phenotyping techniques
$320,000 - $370,000 a year
Total Compensation at DELFI is a combination of salary, bonus, equity, and benefits. Actual compensation packages are based on a wide array of factors unique to each candidate, including but not limited to skillset, years & depth of experience, certifications & relevant education, geography.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
This position is not eligible for agency partnership. Resumes and outreach from staffing representatives will be declined.
Vice President, Data Science
Posted 7 days ago
Job Viewed
Job Description
About Us DELFI Diagnostics, Inc. (DELFI Diagnostics) is developing next-generation, blood-based tests that are reliable, accessible and deliver a new way to help detect cancer. Employing advanced machine-learning methods to whole-genome sequencing data, the DELFI ("DNA EvaLuation of Fragments for early Interception") platform is built to address the highest-burden health challenges. DELFI Diagnostics prioritizes solutions that have the potential to save lives on a global scale, including for historically underserved populations. DELFI Diagnostics’ platform relies on fragmentomics – the discovery that cancer cells are more chaotic than normal cells and, when they die, leave behind tell-tale patterns and characteristics of cell-free DNA (cfDNA) fragments. FirstLook Lung, for individuals eligible for lung cancer screening, is DELFI Diagnostics’ first laboratory-developed screening test and can be part of routine blood work. FirstLook Lung uses millions of data points to reliably identify individuals who may have cancer detected through low-dose CT, including early stage disease with a negative predictive value of 99.8 percent. This test has not been cleared or approved by the FDA. In our passionate pursuit to radically improve health outcomes, we serve humanity when we: Lead with Science, Anchor in Pragmatism : We pioneer life-changing science by ensuring quality, transparency, and rigor at all times. We explore thoughtfully, experiment smartly, and deliver impact with conviction. Build With & For All : We embrace diverse backgrounds to innovate and achieve together. We are not just building a product - we aim to disrupt the path of cancer for all - no matter geography or socioeconomic class Put We over I : We are a home for high-performing people. Through teamwork, we build collective intelligence. Each of us wins when those we serve and those who serve with us--win. We show up with empathy, humility, and integrity at every step of the journey. DELFI has 1-2 designated in-office working days each week for employees who live within within 50 miles of Palo Alto CA or Baltimore MD offices The head of Data Science is an accomplished computational biologist who works at the interface of cancer biology, genetics, genomics, and machine learning, and manages a team of data scientists, computational biologists, and ML scientists. This role will collaborate closely with teams in bioinformatics/software pipeline development, assay, and biostatistics to develop cutting-edge algorithms to detect cancer from blood samples. Reporting to the CTO, you will work closely with commercial, clinical and laboratory leadership to understand the indications and requirements of diagnostic algorithms, and to deliver these. You will also continue to develop the state of the art in machine learning, as described below. This position requires expertise in computational science, cancer biology, team leadership, and strong communication skills. This role is an excellent fit for those who are decisive, proactive and bring a balance of high IQ and EQ. What You'll Do Manage and lead a cross-functional team of data scientists, computational biologists, and bioinformatics engineers Oversee the development and delivery of cutting-edge machine learning algorithms to detect cancer from blood samples Collaborate with peers leading assay design & development, laboratory operations, and clinical development to substantively advance DELFIs R&D objectives Partner with IT & cybersecurity team lead to develop a 2-3 year technology roadmap, including in-house tooling for GenAI and ML infrastructure Represent DELFI externally at national and international conferences, and in strategic meetings with academic partners and governmental / regulatory bodies What You'll Bring to DELFI Required PhD (or MS and equivalent experience) in Computer Science, Computational Biology / Bioinformatics, Applied Mathematics, Statistics, Physics, or EE 10-15 years’ experience with a wide variety of classical and modern methods used in machine learning and AI (unsupervised, semi-supervised, or supervised learning) as evidenced by strong publication record and/or algorithms released into production 3+ years expertise in developing transformer models, neural networks, and/or representation learning as applied to biological problems 5+ years expertise programming in Python/R including modern ML frameworks (Tensorflow, Pytorch, or Jax), production compute environments (AWS/Nvidia), and versioning principles for reproducible model-building and evaluation 10+ years of experience leading and managing teams exemplifying best practice in recruiting, team-building, employee performance management and career development, goal-setting, and cross-functional collaboration Superb written, verbal communication, and influencing and presentation skills, including the ability to communicate complex concepts succinctly to a variety of audiences Decisive, intellectually curious, proactive, and composed with a balance of high IQ and EQ Preferred 3+ years of experience working in biotech/pharma/diagnostics Expertise in explainable models, interpretability/white-box models, and federated learning Background or interest in cancer genomics, molecular biology, and the latest genotyping and phenotyping techniques We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. This position is not eligible for agency partnership. Resumes and outreach from staffing representatives will be declined. #J-18808-Ljbffr