Work with cross functional leadership to understand business needs and prioritize the most impactful projects to develop products that drive business impact
Lead large-scale data science projects from planning to execution and delivery of productionized ML/AI models
Build and retain a team of high performing data scientists
Communicate about results and deliverables to internal and external stakeholders
Research industry trends and standards to proactively drive areas of improvement

Requirements

PhD in Data Science, Computer Science, Statistics, Applied Mathematics, Epidemiology, or related field (or equivalent practical experience)
7+ years of experience building machine learning or statistical models deployed in production environments
2+ years of management experience
Experience working on healthcare claims and EHR data across a variety of therapeutic areas
Strong SQL, Python, and best practices for developing code for software products
Strong statistical and machine learning fundamentals
Demonstrated ability to translate business priorities into data science products in cross-functional collaboration
Excellent oral and written communication

Benefits

Competitive salary + significant equity
Gain hands-on experience at a fast-growing company, with clear opportunities for career growth
Work alongside top-tier engineers, data scientists, and privacy experts

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningstatistical modelsSQLPythondata scienceproduction environmentsstatistical fundamentalsbest practicesEHR datahealthcare claims

Soft Skills

leadershipcommunicationcollaborationteam buildingprioritizationresearchproblem solvingstakeholder engagementbusiness acumenadaptability

Certifications

PhD in Data SciencePhD in Computer SciencePhD in StatisticsPhD in Applied MathematicsPhD in Epidemiology