Senior Data Scientist, Responsible AI

🕒 May 18

🇺🇸 United States – Remote

💵 $105.7k - $149.3k / year

⏰ Full Time

🟠 Senior

📊 Data Scientist

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Empower

WebsiteLinkedInAll Job Openings

10,000+ employees

💸 Finance

💳 Fintech

👥 B2C

Finance • Fintech • B2C

Empower is a leading provider of financial services focused on helping individuals and organizations achieve financial freedom through retirement planning and investment management. Serving over 19 million Americans, Empower offers a comprehensive suite of finance-related services, including smart planning and investment advice, and tools like the Empower Personal Dashboard™ for a complete financial view. The company is renowned as a top retirement plan provider and works closely with personal investors, workplace plan savers, plan sponsors, and financial professionals. Empower is also recognized for initiatives in Diversity, Equity, Inclusion, and has a social commitment that bolsters community impact.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ 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.