The company is looking to leverage data to generate value for its members and improve patient care through early diagnosis and longitudinal care management of chronic conditions.
Requirements
- Advanced degree in a quantitative field, especially dealing with complex data-driven results
- Strong foundation in probability and statistics
- Demonstrated facility with machine learning tools, including SQL and Python, as well as statistical and machine learning packages
- Experience using data science to deliver clear enterprise value in a business function
- Ability to lead and successfully lead a large-scale project from opportunity identification to business value
- Experience with data structuring and cleaning records collected from the real world
- Ability to automate as much as possible and incorporate human decisions into systems
Responsibilities
- Lead large-scale projects from ideation through delivering enterprise value
- Implement broad solutions that are bug-free and well-tested
- Uncover and mitigate risks and assumptions that may prove to be intractable later
- Serve as a trusted advisor and thought partner and ensure that projects are delivered on time and to spec
- Mentor and collaborate with peers to improve their ability to deliver
- Proactively engage with stakeholders across all levels of the company to understand needs
- Deliver results that meaningfully solve business problems
Other
- Minimum of a Master's degree plus 3-4 years of relevant work experience or Ph.D. with 2+ years of relevant experience
- Ability to improve the work of those around you via direct mentorship, code review, informal conversations, and leadership by example
- Ability to clearly articulate how your work accrues to business value and contextualize that value with respect to top-level business objectives
- Comfortable acting autonomously in ambiguous and dynamic environments
- Interest in helping other people move faster as you do building your own analyses
