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Empower · 10 hours ago

Senior Data Scientist, Responsible AI

United States

Full-time

Remote

Mid, Senior Level

$106K/yr - $149K/yr

6+ years exp

Empower is committed to transforming financial lives and fostering a flexible work environment. The Senior Data Scientist of Responsible AI will lead the evaluation and validation of AI systems, ensuring they align with Responsible AI principles while collaborating with various teams to operationalize these practices.

Employee BenefitsNon ProfitSocial

No H1B

Responsibilities

Lead evaluation and validation of AI and GenAI systems, including assessment of hallucination, fairness, robustness, explainability, and other model behavior risks

Design and implement repeatable evaluation workflows, benchmark datasets, and structured model behavior tests

Serve as the Responsible AI data science partner for assigned AI delivery teams, guiding the integration of RAI metrics, guardrails, and evaluation practices

Translate research findings and experimental methods into scalable, platform-ready evaluation capabilities

Collaborate with AI/ML engineers and QA analysts to align evaluation logic with testing pipelines and deployment workflows

Support the creation of model cards, evaluation documentation, and transparency artifacts required for governance and review

Provide Responsible AI consultation to product, engineering, risk, legal, and governance stakeholders

Mentor junior and mid-level data scientists on evaluation design, experimental rigor, and Responsible AI practices

Qualification

AI/ML systems evaluationExperimental designPythonSQLCloud platforms (AWS)Model evaluation methodologyData analysis toolsCollaboration in agile teamsCommunication skillsMentoring

Required

Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, or equivalent experience

6+ years of professional data science experience

Demonstrated experience developing or evaluating AI/ML systems in production or pre-production environments

Strong grounding in experimental design, statistical analysis, and model evaluation methodology

Experience collaborating with engineering and product teams in an agile, iterative delivery environment

Proficiency in Python and SQL for data analysis and evaluation workflows

Experience working with modern cloud platforms such as AWS

Strong communication skills and ability to operate effectively in a matrixed team model

Preferred

Experience evaluating Generative AI or LLM-based systems

Hands-on work with explainability, fairness analysis, hallucination detection, or robustness testing techniques

Familiarity with Responsible AI principles, governance frameworks, or model documentation practices

Experience translating research or experimental methods into repeatable, production-aligned workflows

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.