Senior Data Scientist, Advanced Risk Modeling at Oscar Health

San Francisco, California, United States -

Full Time

Start Date

Immediate

Expiry Date

24 Mar, 26

Salary

207900.0

Posted On

24 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Artificial Intelligence, Data Analysis, Feature Engineering, SQL, R, Python, Statistical Modeling, Data Processing, Healthcare, NLP, Deep Learning, Gradient Boosting, LLM Experimentations, ML Ops, Data Science Best Practices

Industry

Insurance

Description

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 is a remote position, open to candidates who reside in: San Francisco, CA. You will be fully remote; however, our approach to work may adapt over time. Future models could potentially involve a hybrid presence at the hub office associated with your metro area. #LI-Remote 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.

Responsibilities

The Senior Data Scientist will conduct in-depth data analysis and develop advanced ML/AI models to solve complex business problems in risk adjustment. They will also collaborate with various teams to ensure successful model implementation within business workflows.