Senior Data Scientist, Growth

Pearl Health

5d•$105,000 - $160,000

About The Position

We are seeking a sales-oriented Staff Data Scientist – think Sales Engineer, but for Data Science – who can lead complex, cross-functional initiatives and communicate deep technical nuance 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 proactively identifying and mitigating project risks weeks in advance. You should be an effective coordinator across verticals and a strategic thinker with a deep understanding of current business needs and industry trends. The role will leverage and extend our analytic platform to design an ecosystem of explanatory tooling that will provide an explicability layer for our underwriting models. You will align these interpretability projects with an evolving and highly seasonal go-to-market motion, utilizing GenAI as a strategic thought partner to accelerate system design. Additionally, you will influence the strategy and technical choices that impact the company’s financial offer, sales motion and risk management framework, by providing high-level feedback to colleagues on how we can further differentiate and elevate Pearl’s offerings in a competitive sales environment while intelligently managing Pearl’s financial exposure. Pearl Health is restoring the independence and joy of practicing medicine for doctors in the United States. Our healthcare system has burdened our doctors with too much process, while removing them from what they do best: caring for those we love most. We are a team of physicians and public health experts (Stanford, Dartmouth, Harvard, Mass. General), technologists (athenahealth, Apple, Amazon, Meta, Flatiron, WalMart Health), healthcare innovators (Oscar, Aledade, VillageMD, Stellar, Arcadia) and experienced risk management professionals (CVS/Aetna, Humana, Cigna, United) who believe that primary care providers (PCPs) are the key to the United States’ future health. Pearl recently announced a strategic partnership to proliferate value-based care with Walgreens, one of the largest healthcare companies in the country. Our investors include Andreessen Horowitz, Viking Global Investors, AlleyCorp, and SV Angel. Pearl Health helps PCPs who are overwhelmed by the demands of an aging population and the unpredictable business model inherent to Traditional Medicare. Over time, this solution will empower PCPs to provide better care to their entire patient population. We believe there is a need to bring humanism back to healthcare by giving physicians the ability to better allocate their time with patients, increasing their autonomy, creating incentives that are aligned with achieving better outcomes through clinical decision-making powered by actionable intelligence, and making risk more available and more readily optimized through an intelligent marketplace. The Center for Medicare and Medicaid (CMS) is launching a new value-based care program to disrupt Traditional Medicare, and we believe that this represents an opportunity to achieve the meaningful change we envision. 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. The role will leverage and extend our analytic platform to build and optimize explanatory tooling for our underwriting models. You will align these interpretability projects with an evolving and highly seasonal go-to-market motion. Additionally, you will influence the strategy and technical choices that impact the company’s financial offer, sales motion and risk management framework, by providing high-level feedback to colleagues on how we can further differentiate and elevate Pearl’s offerings in a competitive sales environment while intelligently managing Pearl’s financial exposure.

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.

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 collateralshared 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.