Data Scientist

🕒 June 3

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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

• Support Empower’s Responsible AI program by embedding with AI Factory teams • Partner with assigned AI CoreWorks Factory teams on evaluation workflows, guardrails, and measurement practices • Guide teams in applying Responsible AI platform capabilities, including real-time guardrails, hallucination scoring, explainability modules, and batch evaluations • Define and maintain AI application configurations for onboarding, control mapping, and lifecycle management • Execute evaluations of hallucination, fairness, contextual grounding, transparency, robustness, and other model behavior risks • Develop benchmark datasets, evaluation scripts, and structured testing methods • Analyze model architectures, data characteristics, and inference workflows • Partner with QA teams to align evaluation outputs with testing thresholds, validation workflows, and platform guardrails • Apply machine learning, statistical, and experimental design techniques to assess model behavior and performance • Evaluate the impact of training approaches, data sources, model configurations, and deployment patterns on Responsible AI outcomes • Review third-party and open-source models and tools for safety, robustness, and evaluation • Research and prototype emerging Responsible AI methods and evaluation techniques • Participate in proofs of concept and experimental analyses • Help transition successful prototypes into platform-ready capabilities with engineering teams • Collaborate with AI/ML engineers to operationalize evaluation logic and integrate Responsible AI metrics • Assist with model cards, evaluation summaries, transparency documentation, and lineage records • Provide analytical input to governance reviews, audits, and cross-functional consultations • Coordinate with global Responsible AI data science partners on methods, priorities, and standards

🎯 Requirements

• Bachelor’s or Master’s degree in computer science, data science, statistics, or a related quantitative discipline, or equivalent experience • Experience developing, validating, or evaluating machine learning models in production or pre-production environments • Strong proficiency in Python • Experience working with data for ML analysis, experimentation, and evaluation • Familiarity with experimental design, statistical analysis, and model performance assessment • Exposure to GenAI or LLM systems, including model behavior analysis, safety testing, or explainability techniques • Ability to collaborate with engineering, QA, and product teams in a matrixed environment • Strong written and verbal communication skills • Preferred: hands-on experience with grounding checks, judge-model scoring, or explainability methods such as SHAP or LIME • Preferred: familiarity with cloud-based ML environments or enterprise-scale AI systems • Preferred: interest in Responsible AI research related to fairness, factuality, transparency, or model risk • Preferred: experience contributing to shared evaluation frameworks or analytical tooling • For remote work, reliable high-speed internet with a wired connection and a minimally disruptive home workspace are required • Remote internet service must be fiber, cable, or DSL; inadequate connectivity or home environment may require office work

🏖️ Benefits

• Flexible work environment • Fluid career paths • Internal mobility opportunities • Purpose, well-being, and work-life balance support • Welcoming and inclusive work environment • Volunteering opportunities • Reliable high-speed internet and wired connection required for remote/hybrid positions • Necessary computer equipment provided