Senior Data Scientist - Applied

Carrum Health•,
•$190,000 - $225,000•Remote

About The Position

Carrum Health is seeking a Senior Data Scientist to join its Data Science team and build models and decision tools that help members access appropriate care and help internal teams work more effectively. The role spans product machine learning, experimentation, growth, and AI across Carrum’s service lines and key priorities. It is suited to a product-minded builder who starts with the problem, works closely with the people who will use the solution, prototypes quickly, documents the design, and hands work off cleanly to product and engineering while owning outcomes. The Senior Data Scientist reports to the Director of AI & AE and partners closely with product, engineering, care operations, marketing, and Analytics Engineering. The role includes designing, deploying, and scaling product models; designing and analyzing experiments and using causal inference when randomized tests are not feasible; establishing product success metrics and diagnostic dashboards; building the data foundations needed for modeling; and applying AI thoughtfully to tools for members and care teams. Carrum is remote-first, with occasional travel possible for team offsites, client events, or company gatherings. The salary range is $190,000–$225,000 depending on geography and experience, plus equity and an annual bonus.

Requirements

  • Typically 5 or more years of experience in data science.
  • Experience shipping production models that engineering teams consume through a defined interface, including explaining their impact and handling versioning, monitoring, and failures.
  • Ability to take an ambiguous idea from problem framing through prototype to a clean handoff.
  • Experience designing experiments appropriate to modest sample sizes and estimating causal effects from observational data.
  • Ability to select suitable causal and experimental methods, explain their assumptions, and recognize when those assumptions may fail.
  • Experience defining product North Star metrics with product managers and building diagnostic measures to explain metric changes.
  • Experience partnering with engineering on feature pipelines and event logging.
  • Understanding of data leakage, point-in-time correctness, and minimum-necessary access to sensitive data.
  • Production-quality Python and SQL skills, including writing tested, maintainable code rather than relying on notebooks.
  • Rigor in distinguishing correlation from causation, challenging and validating findings, and validating AI-assisted work.
  • Ability to translate business questions into formal problems and communicate results as clear recommendations.

Nice To Haves

  • Clinical, clinical informatics, or oncology background.

Responsibilities

  • Design, deploy, and scale product machine-learning models, including models to identify members who may benefit from Carrum, personalization engines, and provider search ranking.
  • Deliver models behind well-defined interfaces so they can be maintained and improved without slowing the product roadmap.
  • Frame ambiguous problems around the decisions they need to inform, prototype solutions, write design documents, and hand work off to product and engineering for scaling.
  • Design and analyze A/B/n, multivariate, and sequential tests with product teams.
  • Use causal inference to measure impact when randomized testing is not feasible.
  • Partner with product managers and engineers to define North Star metrics and diagnostic dashboards.
  • Model activation, retention, and engagement across the member journey.
  • Work with Analytics Engineering and data engineering on event logging, point-in-time-correct feature pipelines and feature stores, and automated experiment analysis.
  • Apply AI thoughtfully in tools for members and care teams, and rigorously assess whether it is working.
  • Own model outcomes and communicate clear recommendations based on results.

Benefits

  • Equity and stock option plan
  • Annual performance bonus for eligible employees
  • Flexible working hours and schedules
  • Remote work
  • Flexible PTO
  • Summer Fridays, with sign-off at 1 p.m. local time
  • 15 or more paid holidays, including Juneteenth, World Mental Health Day, and Carrum Health Day
  • Annual December holiday shutdown
  • Paid parental leave
  • Health insurance
  • Vision insurance
  • Dental insurance
  • Employee Assistance Programs (EAP)
  • 401(k) retirement plan
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