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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills

AI systems evaluationGenAI systems validationexperimental designstatistical analysismodel evaluation methodologyPythonSQLbenchmark datasetsevaluation workflowsResponsible AI practices

Soft skills

strong communication skillsmentoringcollaborationguidanceoperating in a matrixed team model