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Oscar Health

Tech-driven health insurance with virtual care

Senior Data Scientist

Data ScienceConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 4 years of experience in industry or other quantitative technical fields, which may include academia.
  • At least 3 years of work experience using SQL, R, and/or Python to query, manipulate, and analyze data.
  • At least 3 years of experience building data models and using advanced analytics methods, statistical modeling, and/or data processing.

Responsibilities

  • Work with the team and manager to influence longer-term strategies and the roadmap.
  • Independently propose and execute the team's shorter-term roadmap.
  • Collaborate closely with data and business counterparts across functional areas.
  • Research, develop, and maintain data pipelines, statistical or machine-learning models, and/or advanced analyses.
  • Comply with all applicable laws and regulations.
  • Perform other duties as assigned.

Desired Qualifications

  • Experience in the healthcare, finance, and/or insurance industries.

About the Company

Oscar Health

Tech-driven health insurance with virtual care

Oscar Health is a U.S. health insurer that uses technology to simplify buying and using health care, offering ACA-compliant and other plans for individuals, families, and small businesses, along with 24/7 virtual care. Members pay premiums and access care through a digital platform that includes telemedicine, provider search, and cost-management tools to find in-network doctors, hospitals, and pharmacies. It differentiates itself with a tech-enabled member experience that emphasizes accessibility, easy navigation, round-the-clock telemedicine, and clear connections to in-network providers. The goal is to make healthcare simple, accessible, and affordable in the United States by using technology to streamline enrollment, care access, and costs.

Company size
1,001-5,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2012

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