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.
Validating and maintaining the data pipelines and collateral shared between the Data Science and growth teams.
Helping us refine the competitiveness of our value-based care contracts by anticipating stakeholder needs and providing strategic guidance.
Ensuring quality and availability of various data sources.
Leveraging a deep understanding of ML concepts to consult on the application of payment models.
Designing and engineering analytics tooling to stress-test our underwriting outputs.
Evaluating vendors and technologies to help us better understand our customers and the market.

Requirements

5+ 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 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

Competitive benefits package
Discretionary performance bonus
Equity options

Applicant Tracking System Keywords

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

Hard Skills & Tools

SQLPythonRJuliaScalaMatlabquantitative analysisdata pipelinesanalytics toolingML concepts

Soft Skills

eloquent communicatorstrategic guidancesynthesizing complexityup-leveling understandingconsultinganticipating stakeholder needsvalidating datacollaborativeresults-driveninsightful