Senior Data Scientist, Oscar Health

• 4+ years of industry or other quantitative technical fields (which may include academia)
• 3+ years of work experience working with SQL and Python to query, manipulate, and analyze data
• 3+ years experience building data models, using more advanced analytics methods, statistical modeling, and/or data processing
• Experience designing, building, and maintaining production data pipelines or systems, applying software engineering best practices such as version control, code review, and testing

Desirable

• As a Senior Data Scientist on this team, you will design, build, and maintain systems that automate manual business processes across the risk adjustment space
• Our Actuarial team will be your core stakeholders, and you will also partner with our internal Risk Adjustment team and other business functions
• You will work closely with these stakeholders to understand their processes, then bring those workflows into our data science infrastructure—re-engineering them to be more robust, accurate, and feature-rich
• This is a builder-focused role: the ideal candidate is energized by taking an ambiguous, manual process and turning it into well-engineered, validated, and maintainable production systems
• You will own projects end-to-end—scoping problems with stakeholders, designing the technical approach, implementing pipelines and models, validating outputs against existing processes, and iterating after launch
• Beyond individual projects, you will help shape the technical direction of the team's risk adjustment models and infrastructure, and provide informal mentorship to junior data scientists
• You will report to the Senior Manager, Data Science on the Risk Adjustment team
• Designs, builds, and maintains production data pipelines, statistical/ML models, and analytical systems supporting Oscar's clinical risk adjustment quantification and submissions processes
• Partners closely with business stakeholders including the Actuarial and Risk Adjustment teams—to translate manual processes into automated, validated, and feature-rich systems
• Owns projects end-to-end, including problem definition, technical design, implementation, validation against existing processes, and post-launch iteration
• Interacts and collaborates closely with data and business counterparts across functional areas
• Works with team and manager to impact longer term strategies and roadmap
• Provides informal mentorship to junior data scientists
• Compliance with all applicable laws and regulations
• Other duties as assigned