Senior Data Scientist (Advanced Risk Modeling)

Position Overview

Oscar is seeking a Senior Data Scientist, Advanced Risk Modeling to join our Data Team. In this senior individual contributor role, you will leverage advanced machine learning (ML) and artificial intelligence (AI) methodologies on modern ML platforms to build and deploy sophisticated models that solve complex business problems within our risk adjustment domain.

Key Responsibilities

• Develop and deploy sophisticated models to address complex clinical and business challenges in the risk adjustment domain.
• Conduct in-depth data analysis and advanced feature engineering using large, complex healthcare datasets.
• Design, develop, and validate advanced ML/AI models (e.g., regression/classification, deep learning, NLP, gradient boosting, LLM experimentations).
• 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 for production-level AI/ML systems.
• Research, develop, and evaluate new AI applications using cutting-edge techniques including LLM models and agentic frameworks.
• Collaborate with business stakeholders, engineering teams, and product managers to gain insight into business operations and technical systems.
• Foster strong partnerships across data science, engineering, product, and business units for successful model integration.
• Partner with leaders to identify high-impact opportunities and translate complex business challenges into effective data science solutions.

Required Qualifications

• 4+ years of experience in industry or other quantitative technical fields.
• 3+ years of work experience with SQL, R, and/or Python for querying, manipulating, and analyzing data.
• 3+ years of experience building data models using advanced analytics methods, statistical modeling, and/or data processing.

Preferred Qualifications

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