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Counterpart Health
Counterpart Health
51 – 200 Employees
Artificial IntelligenceHealthcareSaaS
Counterpart Health develops AI-powered physician enablement software for value-based care. Originally incubated at Clover Health as Clover Assistant, the company combines machine-learning models with data from more than 100 sources and EHR integrations to provide point-of-care insights and prioritize clinical actions. Its web-based SaaS platform supports post-hospitalization follow-up, HEDIS quality performance, and cost and risk management for payors, ACOs, and primary care practices, with partnership models focused on value-based care transformation.
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Senior Data Scientist – United States Remote

Lead data science initiatives for Counterpart Health’s AI-enabled chronic care platform. Build measurable solutions that improve physician workflows, product performance, and patient outcomes.

USUnited States
$176,900 – $230,000 / year
RemoteFull-timeSeniorEnglish RequiredData Scientist
PythonSQL

Description

  • Drive large-scale initiatives from initial concept through enterprise-wide impact
  • Use creative, practical approaches to solve complex problems
  • Assess standard and customized solutions to balance speed, effectiveness, and long-term value
  • Deliver scalable, thoroughly tested solutions that reduce technical and operational complexity
  • Translate business challenges into data science outcomes that address critical organizational needs
  • Partner with stakeholders at every level to connect data science priorities with business objectives
  • Surface and reduce project risks early in the delivery process
  • Act as a trusted advisor and strategic thought partner
  • Keep projects on schedule and aligned with defined business goals
  • Mentor colleagues and collaborate across the team to strengthen problem-solving and technical execution
  • Estimate and communicate expected project impact
  • Lead data-based evaluations of product performance
  • Use analytical insights to identify and execute strategic improvements

Requirements

  • Master’s degree in a quantitative discipline with 3–4 years of experience, or a Ph.D. with at least 2 years of experience
  • Strong understanding of probability, statistics, and machine learning methods
  • Proficiency in SQL, Python, and relevant machine learning or statistical libraries
  • Track record of applying data science to generate value within a business function
  • Experience leading projects from initial concept through measurable impact at scale
  • Ability to elevate team performance through mentoring, code reviews, and leadership by example
  • Clear communicator who can connect technical work to business goals and broader company priorities

Benefits

  • Competitive base salary
  • Equity opportunities
  • Performance-based bonus program
  • 401(k) matching
  • Regular compensation reviews
  • Comprehensive medical, dental, and vision coverage
  • No-Meeting Fridays
  • Monthly company holidays
  • Mental health resources
  • Generous flexible time-off policy
  • Remote-first culture
  • Learning programs
  • Mentorship
  • Professional development funding
  • Regular performance feedback and reviews
  • Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities
  • Reimbursement for office setup expenses
  • Monthly cell phone and internet stipend
  • Paid parental leave for all new parents

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