Engaging with sales leads as a “human explicability layer,” up-leveling understanding for non-technical audiences to ensure that complex underwriting results are communicated clearly to drive sales.
Leading complex and dynamic collaborations between the Data Science and Growth teams.
Helping us refine the competitiveness of our value-based care contracts.
Ensuring quality and availability of various data sources.
Leveraging a deep understanding of ML concepts (e.g., using SHAP or feature importance but also less formal quantitative instinct) to consult on the application of payment models.
Designing and engineering analytics tooling to stress-test our underwriting outputs.
Deepening knowledge of healthcare models.
Evaluating vendors and technologies.

Requirements

8+ years of experience in performing results-driven quantitative analysis in a healthcare management or professional consulting environment.
A degree in statistics, applied math, computer science, engineering or a related field (e.g., healthcare policy) is strongly preferred.
SQL expertise and strong foundation in at least one of the main data science programming languages (Python, R, Julia, Scala, Matlab). Python is our current primary language and is preferred.
Eloquent communicator who can communicate deep technical nuance to internal teams while up-leveling understanding for lay audiences.
Relish synthesizing the complexity of the healthcare/financial ecosystem into actionable insights that provide value to providers.
A proven mentor who fosters a culture of technical rigor and mentors more junior team members.
A proven ability to apply research and analytic models to inform growth operations, with a high "hit rate" that indicates accurate intuition for promising nascent research.

Benefits

We offer a competitive benefits package. More on our careers page.

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythonRJuliaScalaMatlabquantitative analysisanalytics toolingML conceptspayment models

Soft Skills

eloquent communicatormentorshipcollaborationsynthesis of complexitytechnical rigorconsultationcommunication for lay audiencesdriving salesup-leveling understandingfostering culture