Senior Data Scientist, Sales

Who we are. . .

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.

What we hope you can do...

We are seeking a sales-oriented Data Scientist — think Sales Engineer, but for Data Science — with a track record of managing cross-functional projects and communicating quantitative results to a lay audience.  You will function as a bridge between our Data Science and Growth teams, giving a voice to analyses that can delve into the arcane and helping close sales by articulating the value of Pearl’s offering.  You should be an effective and compelling communicator and a strategic thinker with a penchant for understanding the needs of internal and external clients.  The role will leverage and extend our analytic platform to predict financial outcomes for healthcare entities, aligning those research projects with an evolving and highly seasonal go-to-market motion, metabolizing third party analyses in order to compare them to internally-generated reports, and providing feedback to your colleagues about how we can further differentiate and elevate Pearl’s offerings. 

What a Senior Data Scientist, Sales means to us during the sales season...

• Engage with salespeople and sales leads as a “human explicability layer.” Although you might have direct contact with leads during our inside sales motion, automating explicability through technical processes would certainly be within the scope of the job.
• Manage a complex and dynamic collaboration between the Data Science and Growth teams, which will require requisitioning and organizing resources in order to ensure that SLAs are met or exceeded throughout the sales motion.
• Help us refine our product-market fit by providing strategic guidance as to what aspects of the sales offerings are compelling and which aren’t working.
• Ensure quality and availability of various data sources:  lead information, sales touchpoint info, evolution of financial analyses shared with a lead, and deal terms.

What a Senior Data Scientist, Sales means to us during the off-cycle…

• Research payment models that resonate with providers and power our go-to-market motion.
• Enable the support of the growth motion through design and implementation of technical systems.
• Deepen knowledge of the healthcare models and programs in which Pearl is operating (e.g. ACO REACH, MSSP, Medicare Advantage).
• Evaluate vendors to help us better understand our customers and the market.

Who you are…

• 8+ years of experience in performing results-driven quantitative analysis in a healthcare management or professional consulting environment, although strong candidates with less experience will certainly be considered.
• 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. 
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