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Counterpart Health
Counterpart Health
51 – 200 Darbinieki
Mākslīgais intelektsSaaSVeselības aprūpe
Counterpart Health izstrādā mākslīgajā intelektā balstītu ārstu darba atbalsta programmatūru uz vērtību balstītai veselības aprūpei. Uzņēmums, kas sākotnēji tika izveidots Clover Health paspārnē ar nosaukumu Clover Assistant, apvieno mašīnmācīšanās modeļus ar datiem no vairāk nekā 100 avotiem un elektronisko veselības ierakstu sistēmu integrācijām, lai nodrošinātu aprūpes sniegšanas vietā izmantojamas atziņas un noteiktu klīnisko darbību prioritātes. Tā tīmeklī pieejamā SaaS platforma atbalsta turpmāko aprūpi pēc hospitalizācijas, HEDIS kvalitātes rādītāju uzlabošanu, kā arī izmaksu un riska pārvaldību maksātājiem, ACO organizācijām un primārās aprūpes praksēm. Partnerības modeļi ir vērsti uz uz vērtību balstītas aprūpes pārveidi.
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Vakances uzņēmumā

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.

USAmerikas Savienotās Valstis
176 900 $ – 230 000 $ / gads
AttālinātiPilna slodzeVecākais speciālistsNepieciešamā Valoda: angļuDatu zinātnieks
PythonSQL

Apraksts

  • 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

Prasības

  • 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

Priekšrocības

  • 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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