What You’ll Be Doing: 

• Build statistical, optimization, and machine learning models for applications including ranking, cost estimation and customer life-time value.
• Use causal inference and Bayesian techniques to estimate the business value of client, provider and payor initiatives across our marketplace.
• Collaborate with product managers and engineers to build and improve on the availability, integrity, accuracy, and reliability of data logging and data pipelines.
• Produce data-driven deep-dives into ambiguous product and business deep-dives to inform company strategy.
• Work closely with multi-functional leads to develop technical vision and drive team direction.
• Establish standard methodologies for data science including modeling, dashboarding, coding, analytics, and experimentation.

You’ll Be a Good Fit If: 

• You have 5+ years proven experience in using statistics, analytics and machine learning to tackle complex business problems that cross multiple product/project areas and teams, ideally in a high-growth, fast-paced environment.
• You have advanced Python and SQL expertise, intermediate understanding of causal inference methods, advanced understanding of experimentation.
• You love data storytelling, creating a compelling narrative by extracting insights from data, and summarizing learnings / takeaways for executives.
• You have strong business sense and enjoy building relationships with both technical and non-technical stakeholders.
• You have demonstrated technical leadership and have a passion for mentoring junior team members.