Senior Data Scientist, Sales

Senior Data Scientist, Sales

This job is no longer open

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. 
  • A thoughtful collaborator who is able to design and execute quantitatively-driven business processes in a way that balances deep insight and fast turnaround.
  • Eloquent communicator of  quantitative analyses, in particular those relating to financial estimates or healthcare, to a lay audience.
  • A proven ability to apply research and analytic models to inform growth operations including product-market fit, the development of sales collateral, and the evolution of RevOps (“GrowthOps” in Pearl-speak) workflows. 
  • Relish synthesizing the complexity of the healthcare/financial ecosystem into actionable insights that provide value to providers. 

Our Values

We are an Equal Opportunity Employer and our employees are people with different strengths, experiences and backgrounds, who share a passion for improving people's lives. Our definition of diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. We believe all of our colleague’s points of view are integral to our success, and that inclusion is everyone's responsibility and a cause of beautiful things. 

We welcome candidates from all backgrounds and are committed to a fair hiring process free from discrimination and focused around problem solving, improvement, and mutual empowerment. 

 

Remote Work

We are a remote-first company, with a concentration of team members at our NYC headquarters and in the Boston area.  

 

Compensation and Benefits

The salary range Pearl Health expects to pay for this position is between $130,000-$170,000 per year.  Full time employees are also eligible for annual discretionary bonus. Where a given candidate falls within that range will depend on a variety of factors, including, but not limited to, the candidate’s relevant skills, experience and location, labor market conditions and participation, if any, in other compensation arrangements.  Pearl Health provides its employees a competitive benefit package - for more information please review our benefits page. 

Agency Submissions

We are not currently working with contingency search firms. If a resume is submitted to any Pearl Health employee by a third party without a valid written and signed search agreement, it will become the property of Pearl Health and no fee will be paid, irrespective of whether the candidate is hired.  

#LI-Remote

This job is no longer open
Logos/outerjoin logo full

Outer Join is the premier job board for remote jobs in data science, analytics, and engineering.