Senior Data Scientist | Careers | Oscar Health

Oscar Health

Hybrid

Quick summary

Work type
Hybrid
Location
New York, NY
Salary
$163,944–$215,176 / yr
Posted
today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $175k
This role $190k
$111k most similar roles pay here $237k

This role pays more than 60% of similar roles. Most pay $135,000–$214,500 — the shaded band above. At the midpoint, this role pays about $190k versus about $175k 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 45 open roles on FindRole.

Listed pay typically runs $149,040–$195,615 across 45 roles with salary data.

Most-posted roles

View all roles at Oscar Health

At a glance

TL;DR · Senior Data Scientist | Careers | Oscar Health

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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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