Senior Data Scientist, Growth Job at Pearl Health (Seattle)

Job Description

We are seeking a sales-oriented Senior Data Scientist — think Sales Engineer, but for Data Science — who can execute complex, cross-functional analytical projects and communicate technical findings to sophisticated, but non-technical audiences. You will function as a strategic bridge between our Data Science and Growth teams, not only giving voice to analyses but identifying data quality issues proactively and validating results against business logic independently. You should be an effective coordinator across verticals with a deep understanding of current business needs and industry trends.

Job Responsibility

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
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
Deepening knowledge of healthcare models
Evaluating vendors and technologies

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