Responsibilities for Data Scientist

• Respond to requests from the Operations team in support of an internal Risk Quality engine.
• Mine and analyze data from company databases to design and communicate reliable metrics.
• Integrate appropriate methods and tools to extend engine offerings.

Qualifications for Data Scientist

• Strong problem-solving skills with an emphasis on product development
• Understanding of the DCE and ACO models
• Understanding of relevant concepts, such as attribution, churn, and risk adjustment
• 2 years experience wrangling Fee-For-Service (FFS) claims data, and an awareness of common claims-based issues (e.g., claims lag, missing data, cross-walking, etc.)
• Strong Python programming skills
• Strong experience using relational database management systems to query and store data efficiently
• Experience using MongoDB is preferred
• Knowledge of claims-based actuarial loss reserving methods (e.g., the chain-ladder method,  Bornhuetter–Ferguson method, expected claims technique, etc.)
• Experience delivering metrics in a modern analytic environment (e.g., sharing Excel reports with executives, presenting Jupyter Notebooks, PowerBI, etc.)