# Senior Director, Data Science, Core Insurance & Network at Oscar AI

- Company: Oscar AI
- What the company does: Oscar is an AI operations analyst that watches every location 24/7, catching revenue leaks, labor inefficiencies, and compliance risks, then delivering the alerts, reports, and action plans your team needs to fix them fast. Backed by Techstars.
- Company website: https://oscar.ai
- Type: Startups (AI role)
- Level: Principal and up
- Location: New York, New York, United States
- Work setup: On-site
- Pay: $240K to $315K base salary per year (USD)
- Posted: 2026-09-25
- Apply by: 2026-11-09
- Apply: https://job-boards.greenhouse.io/oscar/jobs/8233063
- Page: https://www.1752.vc/careers/jobs/oscar-ai-senior-director-data-science-core-insurance-and-network/

## About the role

The Senior Director of Data Science, Core Insurance & Network leads data science across Oscar’s Core Insurance and Network businesses, including Claims, Authorization Services, Pharmacy, Payment Integrity, and Network. This leader sets strategy across multiple teams, develops leaders, and partners across the business and technology organization, including Analytics, Engineering, and Product, to improve affordability, operational performance, and member and provider experience.

## What they're looking for

- 12+ years of experience in data science, analytics, or another quantitative field, including setting strategy and delivering cross-functional data products or programs
- 8+ years of experience using SQL and Python, R, or another analytical language to analyze large, complex datasets
- 8+ years of experience applying advanced analytics, experimentation, statistical modeling, machine learning, or large-scale data processing to business decisions
- 7+ years of experience working with data in healthcare
- 7+ years working in a complex environment and managing interactions with multiple cross-functional stakeholders (business, product, engineering, etc.)
- 5+ years of people management experience, including leading managers and multiple data science or analytics teams

Tags: Data