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Pearl Health · 1 week ago

Staff Data Scientist, Growth

United States

Full-time

Remote

Lead/Staff

$160K/yr - $200K/yr

8+ years exp

Pearl Health is dedicated to empowering primary care providers and health systems in the shift to value-based care. They are seeking a Staff Data Scientist who will serve as a strategic bridge between Data Science and Growth teams, leading complex initiatives and communicating technical nuances to non-technical audiences while ensuring project risks are managed effectively.

Health 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

Leading complex and dynamic collaborations between the Data Science and Growth teams. This requires not just organizing resources, but proactively identifying and mitigating risks to ensure SLAs are met or exceeded

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. You will set standards for code quality and reproducibility regarding lead information, sales touchpoints, and financial analyses

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. Developing 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. Participating in evaluations for core technologies to help us better understand our customers and the market

Qualification

SQL expertisePythonHealthcare models knowledgeQuantitative analysisData science programmingEloquent communicatorMentorshipCollaboration

Required

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