Senior Data Scientist

Oscar Health

Confirmed live 2 days ago High trust

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Salary: $163,944–$215,176 / yr
Posted: 48 days ago
Freshness: Confirmed live 2 days ago
Nearby: 99+ roles within 25 mi

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $159k

This role $190k

$91k most similar roles pay here $229k

This role pays more than 75% of similar roles. Most pay $126,800–$191,250 — the shaded band above. At the midpoint, this role pays about $190k versus about $159k 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 70 open roles on FindRole.

Listed pay typically runs $149,040–$195,615 across 65 roles with salary data.

Most-posted roles

View all roles at Oscar Health

At a glance

TL;DR · Senior Data Scientist

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The Senior Data Scientist joins the Risk Adjustment Data Science team to transform complex healthcare and insurance data into models, pipelines, and systems that quantify clinical risk and power risk adjustment submissions. In this builder-focused role, you will own projects end-to-end by collaborating with Actuarial and Risk Adjustment teams to translate manual business processes into automated, validated, and feature-rich production systems. You will design and maintain data pipelines, statistical models, and analytical systems while providing informal mentorship to junior team members. The role requires proficiency in SQL and Python for data manipulation and analysis, along with experience in statistical modeling and software engineering best practices like version control and testing. Candidates should be skilled at building robust infrastructure to solve complex financial and clinical risk problems within the health insurance domain.

What does a Data Scientist earn in New York?

Median $173200 from 38 postings across 17 companies.

See salary data

Skills

Python SQL BigQuery dbt Dataflow Statistical Modeling Data Pipelines Version Control Software Engineering Cloud Platforms Data Processing

What you'll do

Design, build, and maintain production data pipelines and machine learning models for clinical risk adjustment.
Translate manual business processes into automated, validated, and feature-rich systems.
Own projects end-to-end from initial problem scoping to technical design and post-launch iteration.
Partner with Actuarial and Risk Adjustment teams to integrate their workflows into data science infrastructure.
Shape the long-term technical direction of risk adjustment models and team infrastructure.
Provide informal mentorship to junior data scientists on the team.

What we're looking for

4+ years of experience in industry or other quantitative technical fields.
3+ years of experience using SQL and Python to query, manipulate, and analyze data.
3+ years of experience building data models, statistical modeling, and advanced analytics methods.
Experience designing, building, and maintaining production data pipelines using software engineering best practices like version control and testing.
Ability to translate manual business processes into automated, validated, and feature-rich systems.
Capability to own projects end-to-end from problem definition and technical design to implementation and post-launch iteration.
Ability to provide informal mentorship to junior data scientists.
An advanced degree in a quantitative or technical field is preferred.

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