Senior Data Scientist

Oscar Health

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Salary: $163,944–$215,176 / 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 $162k

This role $190k

$101k most similar roles pay here $227k

This role pays more than 71% of similar roles. Most pay $126,800–$197,133 — the shaded band above. At the midpoint, this role pays about $190k versus about $162k 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 · Senior Data Scientist

Role Posting Log in to save

As a Senior Data Scientist at Oscar’s Data Team, you will play a pivotal role in enhancing member experience by developing sophisticated LLM frameworks and ML models that power our automated support systems and digital interfaces. Your daily responsibilities include evaluating tool performance and analyzing member behavior to extract valuable insights for strategic decision-making across product and operations teams. You will collaborate closely with data scientists, analysts, and business counterparts to set short-term roadmaps and contribute to long-term strategies. The ideal candidate has 4+ years of industry experience in quantitative fields, proficiency in SQL, R, and Python, and expertise in building advanced data models and statistical analyses. Bonus points for an advanced degree in a technical field and relevant healthcare or insurance industry experience.

Skills

Python R SQL ML Statistical Modeling Data Pipelines CI/CD Kubernetes AWS Terraform PostgreSQL Prometheus Grafana

What you'll do

Develops LLM frameworks and ML models to support automated member service systems.
Evaluates performance of data tools and analyzes member behavior for strategic insights.
Builds and maintains complex data pipelines, statistical models, and advanced analyses.
Leads shorter-term roadmap setting and longer-term strategy development for the team.
Collaborates with cross-functional teams to enhance product and operational strategies.

What we're looking for

4+ years of industry experience in quantitative fields like data science or academia.
3+ years of hands-on experience with SQL, R, and Python for data analysis.
3+ years of expertise in building data models using advanced analytics and statistical methods.
Experience evaluating consumer-facing digital products in collaboration with Product and Engineering teams.
Advanced degree in a quantitative or technical field preferred.

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