Data Scientist, Oscar Health

• A master's degree in a technical field and 2+ years experience OR a bachelor's degree and 3+ years experience
• Knowledge of standard machine learning methods
• Experience building data models
• Proficiency in SQL, R, and/or Python to query, manipulate and analyze data

Desirable

• As a Data Scientist II, Fraud, Waste & Abuse (FWA), you will partner closely with our Special Investigations Unit, our Cost Containment Operations team, and our Provider teams to produce data-driven leads for Fraud, Waste and Abuse investigations
• You will work with operational teams to take action on these leads and will help track the performance of these investigations, informing future strategy and model refinements
• There is opportunity for machine learning, but you will also be devoting substantial time to building out data models and dashboards that enable the business to leverage FWA data
• You will work to reduce the 3-5% of national healthcare spend estimated to have been lost to fraud, waste, and abuse, reducing overall healthcare costs for Oscar and our members
• Meet regularly with our Special Investigations Unit to stay informed of current needs and provide input into strategy discussions
• Own and maintain our existing FWA analytics pipeline, which includes both lead generation and performance tracking
• Partner with stakeholders to identify and implement new investigation targeting schemes
• Improve our existing lead generation by incorporating new sources of training data and new prediction models
• Improve the tracking of our performance by switching to more robust upstream data sources
• Build dashboards that communicate our performance, inform strategic decisions around FWA resourcing and planning, and enable self-service use of FWA data