Counterpart Health
Counterpart Health
Counterpart Health dezvoltă software de sprijin pentru medici, bazat pe inteligență artificială, destinat îngrijirii bazate pe valoare. Compania a fost incubată inițial în cadrul Clover Health sub denumirea Clover Assistant și combină modele de învățare automată cu date provenite din peste 100 de surse și integrări cu sisteme de evidență electronică a datelor medicale, pentru a oferi informații la punctul de îngrijire și a prioritiza acțiunile clinice. Platforma sa web de tip software ca serviciu sprijină monitorizarea după spitalizare, performanța în materie de calitate conform indicatorilor HEDIS și gestionarea costurilor și riscurilor pentru plătitori de servicii medicale, organizații de îngrijire responsabilă și cabinete de asistență medicală primară, prin modele de parteneriat axate pe transformarea îngrijirii bazate pe valoare.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • 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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