Senior Manager of Data Scientist

at Health Care Service Corporation in Chicago, Illinois, United States

Job Description

Lead a team of data scientists and data engineers and accountable to delivering production scores, building out and maintaining pipelines of data as inputs to advanced statistical models. Maintain a curated data science features layer used by the broader data science team. Senior technical leader on the team and a mentor to junior and midlevel data scientists and data engineers. Oversee the team’s migration to the future-state azure analytics platform and implementing machine learning batch processing solutions built in that environment. Organize and lead a team of data scientists and data engineers that connects the team to new data sources (health data exchange, etc.), integrates data for consumption and utilization by modeling and analytics team, and executes existing model scoring and production. Build and develop a team that takes ownership of completed model assets and launches them into steady state by consolidating & maintaining repeatable processes for the provider and member insights programs. Lead work to optimize processes to minimize run time and errors and follow best practices authoring code that enables continuity of work and minimizes disruption. Maintain the flow of information with the Modeling and Adoption teams, gathers requirements, ensures/enables collaboration, communicates limitations and timelines, and prioritizes work. Ensure timely delivery to stakeholders. Explore, evaluate, & guide the team into future state computing environments; collaborates with enterprise teams to shape the requirements for migration of team assets to future state MLOps infrastructure. Telecommuting: Telecommuting permitted 2 days a week

REQUIREMENTS:

This position requires a Bachelor’s degree, or foreign equivalent, in Data Science, Economics, Physics, Engineering or a related field plus 5 years of experience as a Data Scientist or related occupation. Additionally, the applicant must have employment experience with: (1) Data analysis and relational-style query languages; (2) Machine learning and/or statistical modeling; (3) Data visualization; (4) High-level programming language; (5) Distributed computing; (6) Independently delivering or leading the delivery of complex analytics or data science project; and (7) Mentoring, managing, or leading junior analytics or data science staff.