Oscar Health
Senior Data Scientist, AI Enablement
$164K–$215K
New York, New York, United States · Senior · Full-time · Posted Sep 16, 2026
- Experience
- 4+ years in industry or other quantitative technical fields; 3+ years with SQL and Python; 2+ years with LLMs, prompt engineering, and GenAI concepts.
About the job
Build and maintain production AI-powered analytics tools and pipelines that help Oscar’s internal stakeholders answer data questions and generate insights independently.
What you'll do
- Design, develop, deploy, evaluate, and monitor AI-driven self-serve analytics products, from prototypes to production systems.
- Experiment with models and tools, assessing quality, reliability, performance, and cost; help shape the roadmap for AI-enabled analytics.
- Partner with engineering and business teams to understand needs and integrate scalable data workflows into software applications.
What they ask for
- 4+ years in industry or other quantitative technical fields, including academia.
- 3+ years working with SQL and Python to query, manipulate, and analyze data.
- 2+ years working with LLMs, prompt engineering, and GenAI concepts, applied to practical use cases.
- Experience with data modeling or advanced analytics, production data pipelines or systems, software engineering best practices, and independently driving technical projects end-to-end.
Nice to have
- Experience integrating agentic workflows into analytical tools and automated pipelines.
- Healthcare experience, familiarity with claims or clinical data, or experience with headless semantic layers such as Cube or MetricFlow.
Pay
$163,944 - $215,176.50 per year (base salary)
Tools
SQL, Python, LLMs, Cube, MetricFlow
AI focus
Build LLM-augmented self-serve analytics and automated insight systems; evaluate and monitor analytical accuracy, generated queries, and AI-generated insights, including handling ambiguity and unsupported conclusions.
Model-written summary · the original posting is authoritative