Data Scientist

Oscar Health · Health Insurance & Benefits · Master's Degree · Python · SQL · 22 days ago

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Salary

$131k – $172k per year

Location

Hybrid (Los Angeles, United States)

Seniority

Middle · 3+ years exp

Employment

Full-Time

Confirmed on the employer's own hiring board on Oct 29, 2026. First seen by Alion on Sep 27, 2026.

Overview

Company

Impact

Profile match

Oscar Health

Oscar Health is a technology-driven health insurance company headquartered in New York that sells individual and family plans on the Affordable Care Act marketplaces, along with small group and Medicare Advantage products. Founded in 2012 by Mario Schlosser, Joshua Kushner and Kevin Nazemi, it is listed on the New York Stock Exchange and builds its own full-stack platform for members, providers and virtual care. It hires software and AI engineers, data scientists, product managers, finance and planning staff, provider and credentialing operations managers, growth strategists and special investigations analysts.

hioscar.com · HQ: New York, United States · Telemedicine & Virtual Care · Health Care · Health Insurance & Benefits · 201-500 employees · Est. 2012

Tech stack of Oscar Health

Backed by General Catalyst, Coatue, Khosla Ventures

Join Oscar's data team as a Data Scientist II, where you'll drive data science projects across multiple teams and domains. You'll take ownership of analytical and modeling work, contribute to technical direction, and partner closely with business, engineering, product, and data stakeholders. This is a mid-level role for data scientists who can operate independently and apply advanced analytics or modeling techniques with minimal oversight.

Missions

Research, develop, and maintain data pipelines, statistical models, and advanced analytical solutions.
Own projects end-to-end, including problem definition, implementation, validation, and iteration.
Collaborate closely with data science peers and cross-functional partners across business units.

Profil recherché

- 2+ years of experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

- 3+ years of experience in data science, applied analytics, or a related quantitative field (industry, academia, or both)

- 2+ years of experience using SQL and Python and/or R to query, analyze, and manipulate data

- Experience deploying or supporting models in production environments

- Knowledge of or previous work experience in health care or health insurance

- Experience mentoring or supporting junior team members

- Master’s degree in a quantitative or technical field

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