Senior Data Scientist, Advanced Risk Modeling

Oscar Health

🔍 Observed

$158K - $208K USD

New York, New York, United States First seen 3 weeks ago Last seen 6 hours, 21 minutes ago Greenhouse

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Job Description

AI Summary

• Develop and deploy advanced machine learning and AI models for healthcare risk adjustment, using techniques like deep learning, NLP, and gradient boosting on modern ML platforms like Vertex AI. • Conduct data analysis and feature engineering on large healthcare datasets, build production-level models, and maintain supporting data systems and monitoring infrastructure. • Requires 4+ years in quantitative/technical fields and 3+ years of hands-on experience with SQL, Python, and/or R for data manipulation and statistical modeling. • Hybrid role based in NYC, Los Angeles, or Tempe with 3 required days in-office weekly (Thursdays mandatory); compensation is $158,400–$207,900 annually plus equity, bonuses, and unlimited vacation. • Collaborate with business stakeholders, engineering teams, and product managers to identify high-impact opportunities and translate complex business challenges into actionable data science solutions.

Hi, we're Oscar. We're hiring a Senior Data Scientist to join our Data Team.

Oscar is the first health insurance company built around a full stack technology platform and a relentless focus on serving our members. We started Oscar in 2012 to create the kind of health insurance company we would want for ourselves—one that behaves like a doctor in the family.

About the role:

The Senior Data Scientist, Advanced Risk Modeling, is a senior individual contributor role focused on utilizing advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms. This role will build and deploy sophisticated models to help solve complex business problems specifically within Oscar's risk adjustment domain.

You will report into the Director of Data

Work Location: This position is a hybrid role based in our New York City office, Los Angeles Office, or Tempe Office requiring a hybrid work schedule with 3 days of in-office work per week Thursdays are a required in-office day for team meetings and events, while your other two office days are flexible to suit your schedule. #LI-Hybrid

Pay Transparency: The base pay for this role is: $158,400- $207,900 per year. You are also eligible for employee benefits, participation in Oscar's unlimited vacation program, company equity grants, and annual performance bonuses.

Responsibilities:

Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets to create robust predictors.
Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations) to solve complex clinical and business problems within the risk adjustment domain.
Leverage modern ML Ops platforms (e.g., Vertex AI) and data science best practices to efficiently train, test, deploy, and maintain production-level models.
Build and maintain the supporting data systems, analytics, and monitoring infrastructure required for complex, production-level AI/ML systems.
Research, develop, and evaluate new AI applications using cutting-edge techniques, including LLM models and agentic frameworks, to solve critical business challenges in risk adjustment.
Work closely with business stakeholders, engineering teams, and product managers to gain a deep understanding of business operations and technical systems.
Build strong partnerships to foster close, effective integrations between data science, engineering, product, and business units.
Partner with leaders to identify high-impact opportunities, translate complex business challenges into data science solutions, and ensure successful model implementation within business workflows.

Requirements:

4+ years of industry or other quantitative technical fields (which may include academia).
3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing

Bonus points:

Advanced degree in a quantitative or technical field
Experience in the healthcare, finance and/or insurance industries

This is an authentic Oscar Health job opportunity. Learn more about how you can safeguard yourself from recruitment fraud here.

At Oscar, being an Equal Opportunity Employer means more than upholding discrimination-free hiring practices. It means that we cultivate an environment where people can be their most authentic selves and find both belonging and support. We're on a mission to change health care -- an experience made whole by our unique backgrounds and perspectives.

Pay Transparency: Final offer amounts, within the base pay set forth above, are determined by factors including your relevant skills, education, and experience. Full-time employees are eligible for benefits including: medical, dental, and vision benefits, 11 paid holidays, paid sick time, paid parental leave, 401(k) plan participation, life and disability insurance, and paid wellness time and reimbursements.

Artificial Intelligence (AI): Our AI Guidelines outline the acceptable use of artificial intelligence for candidates and detail how we use AI to support our recruiting efforts.

Reasonable Accommodation: Oscar applicants are considered solely based on their qualifications, without regard to applicant’s disability or need for accommodation. Any Oscar applicant who requires reasonable accommodations during the application process should contact the Oscar Benefits Team (accommodations@hioscar.com) to make the need for an accommodation known.

California Residents: For information about our collection, use, and disclosure of applicants’ personal information as well as applicants’ rights over their personal information, please see our Privacy Policy.

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Job Information

Company:
Oscar Health
Location:
New York, New York, United States
Experience Level:
Senior
Source:
Greenhouse
Status:
Active

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