Data Scientist, Oscar Health

• A bachelor's degree and 3+ years of industry or educational experience in a technical field
• 3+ years of work experience working with SQL, R, and/or Python to query, manipulate and analyze data
• 3+ years experience building data models and using more advanced analytics methods, including conducting in depth analysis, rather than simple descriptive analysis

Desirable

• As a Data Scientist II (Risk Adjustment Analytics) you will work with business teams, clinical staff, and data colleagues to help develop data pipelines, models, reports and analytics that will shape our Risk Adjustment processes
• The Risk Adjustment program within the ACA marketplace ensures financial stability for health insurance plans by transferring funds from insurers with healthier members to those with sicker, higher-cost members
• This prevents adverse selection and maintains stable premiums and a sustainable market. The Risk Adjustment Analytics Data Science team is responsible for accurately modeling the health status and clinical risk of members and conducting research to optimize risk adjustment operations and outreach programs to improve the accuracy of member morbidity profiles
• Collaborating with operational and actuarial teams, vendors, and government agencies, the team builds core risk adjustment data products, analyzes and optimizes operational outcomes, and creates models to drive Oscar's risk adjustment programs
• You will report to the Senior Data Scientist / Manager (Risk Adjustment Analytics)
• Responsible for the creation, implementation, and maintenance of data pipelines relating to member outreach programs that drive improved outcomes for our members and help us better understand their clinical risk
• Perform analysis on our existing models while also exploring and developing new model ideas to improve operational outcomes
• Develop advanced analytics and validation checks on data and statistical model outputs without significant manager oversight. This includes identifying potential issues, anomalies, or inconsistencies in the data, and implementing corrective measures to ensure the integrity of our models and analyses
• Build clear reporting to present complex, nuanced information to technical and non-technical audiences
• Collaborate closely with data, engineering, and business teams to enhance overall data processes and establish analytical frameworks to answer ambiguous and broadly scoped questions. This involves understanding their needs and requirements, providing them with the necessary data support, and working together to develop strategies and solutions that improve our processes and outcomes
• Compliance with all applicable laws and regulations
• Other duties as assigned