Director, Data Science, Risk Adjustment

Oscar Health

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NYLos Angeles, CATempe, AZ
Salary: $218,592–$286,902 / yr
Posted: 24 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k

This role $253k

$114k most similar roles pay here $305k

This role pays more than 88% of similar roles. Most pay $142,432–$218,488 — the shaded band above. At the midpoint, this role pays about $253k versus about $180k for comparable roles.

Based on 240 similar postings.

Employer

About Oscar Health

Oscar Health is a technology-driven health insurance company offering individual, family, and small business health plans.

Oscar Health currently has 51 open roles on FindRole.

Listed pay typically runs $149,040–$195,615 across 47 roles with salary data.

Most-posted roles

View all roles at Oscar Health

At a glance

TL;DR · Director, Data Science, Risk Adjustment

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As Director of Data Science - Risk Adjustment at Oscar, you will lead a team within the Data Science department to develop advanced analytics, machine learning models, and AI-driven solutions that support the company’s risk adjustment strategy. You will work closely with cross-functional teams including Product, Engineering, Clinical, Finance, and Actuarial to build scalable analytical systems and deliver high-impact insights in complex healthcare environments. Your daily responsibilities include managing a medium-sized team of data scientists and analysts, developing strategic plans, and advocating for the data science team’s contributions to senior leadership. The role requires expertise in SQL, R, Python, statistical modeling, and modern AI/LLM technologies, with a preference for experience in healthcare risk adjustment and actuarial work.

Skills

Python R SQL LLMs Entity Recognition Data Pipelines Statistical Modeling Machine Learning Healthcare Data Actuarial Experience Complex Environment Management Cross-Functional Collaboration People Management

What you'll do

Leads teams developing advanced analytics and AI-driven solutions to support risk adjustment strategy.
Manages medium-sized data science teams, including managers, to achieve strategic goals.
Designs and maintains scalable analytical systems using statistical models and machine learning.
Champions collaboration within the data science team and across multiple departments.
Advocates for the data science team’s contributions and needs to senior leadership.
Influences cross-functional stakeholders in healthcare environments to drive operational performance.

What we're looking for

10+ years of industry experience in quantitative fields, preferably healthcare.
7+ years of hands-on experience with SQL, R, Python for data analysis.
5+ years of expertise in building advanced analytics and statistical models.
5+ years of experience working in complex environments with cross-functional teams.
3+ years of leadership experience managing people and projects.
Strong background in healthcare risk adjustment and actuarial work.
Experience with large language models (LLMs) and entity recognition techniques.