Pearl Health · 7 hours ago
Senior Data Scientist, Growth
United States
Full-time
Remote
Senior Level, Lead/Staff
$105K/yr - $160K/yr
5+ years expPearl Health is a healthcare company focused on restoring independence and joy for doctors in the United States. They are seeking a Senior Data Scientist to function as a strategic bridge between the Data Science and Growth teams, leading complex analytical projects and communicating results to non-technical audiences while optimizing underwriting models and influencing sales strategy.
HealthcareHealth Care
Responsibilities
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. While you will have direct contact with prospects, you will also identify opportunities to automate explicability through robust technical systems. Crucially, you will use points of friction or resonance observed in the field to inspire the roadmap for our core ML team, ensuring our models and features evolve in direct response to market needs and stakeholder feedback
Validating and maintaining the data pipelines and collateral shared between the Data Science and growth teams. This requires not just organizing resources, but identifying data quality issues proactively and validating results against business logic independently
Helping us refine the competitiveness of our value-based care contracts. You will anticipate stakeholder needs and provide strategic guidance on which aspects of our sales offerings are compelling, proactively proposing new work based on these business insights
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. You will develop a deep orientation to the core team’s outputs, ensuring our financial logic is both accurate and explainable for provider-facing scenarios
Designing and engineering analytics tooling to stress-test our underwriting outputs. You will use your technical expertise to contemplate where models may be weak and investigate corner cases, ensuring our growth motion is supported by high-fidelity, defensible data in the upcoming season
Deepening knowledge of healthcare models. Develop a deep understanding of industry trends (e.g., LEAD, REACH, MSSP, Medicare Advantage) and data heterogeneity to align with Pearl's strategic roadmap
Evaluating vendors and technologies. Participate in evaluations for core technologies to help us better understand our customers and the market
Qualification
Required
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
Discretionary performance bonus
Equity options
Competitive benefits package
Company
Pearl Health
Pearl Health provides an integrated platform to help primary care providers focus their attention on the patients who need it.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$95MKey Investors
Andreessen Horowitz,Viking Global Investors
2023-01-26Series B· $75M
2021-09-15Series A· $18M
2020-12-28Seed· $2M
Leadership Team
Jeff De Flavio
Executive Chairman and co-Founder
Matt Solnit
Chief Technology Officer
Recent News
2025-12-01
Business Wire
2025-10-21
Company data provided by crunchbase