About this role

Work cross functionally to identify opportunities for leveraging company data to drive business solutions.
Mine and analyze data from claims databases to drive optimization and improvement of product development, sales, marketing techniques and business strategies.
Assess the effectiveness and accuracy of new data sources and data gathering techniques.
Develop custom data models and algorithms to apply to data sets.
Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
Coordinate with different functional teams to implement models and monitor outcomes.
Develop processes and tools to monitor and analyze model performance and data accuracy including responsible AI.

Minimum of five (5) years experience manipulating data sets and building statistical models.
Advanced level SQL coding & query optimization.
Experience with healthcare data and standard UB/HCFA claim fields.
Experience with data in Snowflake on Cloud Platforms.
Experience using statistical computer languages (R, Python, SLQ, etc.) to manipulate data and generate insights from large data sets.
Experience working with Java, Spark and/or Python.
Experience working in Project Management tools (Jira, Confluence).

Staff Data Scientist

Key skills