Tech Lead Data Scientist, AI Evaluation
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- Set the technical direction for AI evaluation across a large portfolio of production systems
- Design and operate the evaluation toolkit, including LLM-as-Judge frameworks, golden sets, and simulation harnesses
- Provide hands‑on guidance to program teams on validation studies, equity audits, and monitoring plans
- Translate ambiguous failure modes into concrete, measurable production monitoring metrics
- Provide technical leadership, design review, and mentorship to a team of data analysts Requirements
- 6+ years of experience in data science, statistics, ML engineering, or applied quantitative research
- Strong foundation in experimental design and causal inference
- Hands‑on experience designing and running model evaluation studies in production settings
- Experience evaluating LLM, generative AI, or complex ML systems
- Proficiency in Python and SQL and comfort with cloud‑native data environments
- Experience with fairness and equity evaluation for ML systems
- Ability to provide technical leadership without formal people‑management authority Preferred Qualifications
- MS or PhD in a quantitative field
- Experience in healthcare, clinical, or regulated industries Benefits
- Healthcare benefits including vision and dental from day one
- Domestic partner benefits
About the Company
Geisinger is a healthcare system serving more than 1 million people, comprising nine hospital campuses, a health plan, two research centers, and the Geisinger Commonwealth School of Medicine.
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