Data Scientist – Responsible AI
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Job Description
Data Scientist supporting Empower’s Responsible AI strategy through data evaluation and statistical analysis. Collaborating with engineers and stakeholders to ensure responsible application of AI technologies.
Responsibilities:
- Apply statistical analysis and experimentation to evaluate generative AI, agentic AI, and other AI-enabled applications
- Develop and maintain Responsible AI measures, benchmark datasets, test suites, and evaluation criteria
- Evaluate AI systems for fairness, bias, explainability, transparency, hallucination, safety, reliability, and robustness
- Use evaluation results to support the design, testing, selection, and ongoing assessment of AI-enabled business applications
- Establish performance baselines and help identify changes in model or application behavior over time
- Design and execute proofs of concept for new Responsible AI evaluation approaches
- Assess emerging Responsible AI tools, frameworks, and methodologies for validity, limitations, and business applicability
- Support the integration of Responsible AI testing into application development, quality assurance, and governance processes
- Partner with engineering, architecture, quality assurance, governance, and business teams to align evaluation methods with use case requirements
- Create and maintain model cards, evaluation reports, methodology documentation, and related guidance
- Communicate findings, limitations, risks, and recommendations to technical and nontechnical stakeholders
- Contribute to Responsible AI training, internal education, applied research, and industry engagement
- Monitor emerging technologies and evaluation methods related to generative AI, agentic AI, and Responsible AI.
Requirements:
- Bachelor’s degree in Data Science, Computer Science, Statistics, Mathematics, Psychology, Economics, Operations Research, or another quantitative discipline
- 2 to 5 years of experience in data science, statistical analysis, AI evaluation, applied research, or analytics
- Strong Python programming skills and experience working with data analysis and AI evaluation tools
- Strong SQL skills and experience working with large, complex datasets
- Experience designing experiments, selecting appropriate measures, and interpreting statistical results
- Experience evaluating generative AI applications, large language models, agentic systems, or other AI-enabled solutions
- Knowledge of Responsible AI concepts, including fairness, bias, explainability, transparency, hallucination, safety, reliability, and robustness
- Experience developing evaluation datasets, benchmarks, test cases, scorecards, or performance measures
- Experience translating evaluation results into recommendations for business applications and technical teams
- Experience with source control, automated testing, technical documentation, and basic software engineering practices
- Ability to assess technical methodologies, identify limitations, and communicate findings clearly
- Strong written and verbal communication skills
- Ability to work independently and collaborate across technical, governance, and business teams.
Benefits:
- Medical, dental, vision and life insurance
- Retirement savings – 401(k) plan with generous company matching contributions (up to 6%), financial advisory services, potential company discretionary contribution, and a broad investment lineup
- Tuition reimbursement up to $5,250/year
- Business-casual environment that includes the option to wear jeans
- Generous paid time off upon hire – including a paid time off program plus ten paid company holidays and three floating holidays each calendar year
- Paid volunteer time — 16 hours per calendar year
- Leave of absence programs – including paid parental leave, paid short- and long-term disability, and Family and Medical Leave (FMLA)
- Business Resource Groups (BRGs) – BRGs facilitate inclusion and collaboration across our business internally and throughout the communities where we live, work and play. BRGs are open to all.
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