Clinical Data - Senior Data Scientist (San Francisco) Job at Sprinter Health, San Francisco, CA

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  • Sprinter Health
  • San Francisco, CA

Job Description

Overview

Clinical Data - Senior Data Scientist at Sprinter Health

About Sprinter Health

Our mission is reimagining care access by bringing it directly to homes. Nearly 30% of U.S. patients skip preventive or chronic care because they cant get to a doctors office, driving over $300B in avoidable costs annually. Weve supported more than 2 million patients across 22 states, completed 130,000+ inhome visits, and maintained a 92 NPS. Data is core to how we deliver care, allocate clinicians, and understand population risk.

About The Role

Were hiring a Senior / Staff Data Scientist to tackle highimpact problems across logistics, patient behavior, clinical operations, and population health. This 01 role directly shapes how care is delivered, optimized, and scaled. Youll turn messy, realworld healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve realworld problems, this is that opportunity.

Office Location

We are a hybrid company based in the Bay Area with offices in both San Francisco and Menlo Park. We care about worklife balance and understand that there will be times where flexibility is needed.

What You Will Do

  • Explore clinical, operational, and patient engagement data to surface actionable insights
  • Analyze routing, capacity planning, and supplydemand dynamics across regions
  • Identify drivers of preventive care engagement and patient followthrough
  • Predict cancellations, risk, and future care needs using behavioral and clinical signals
  • Design and evaluate A/B experiments across product, growth, and operations
  • Support internal teams with dashboards, analytics, and adhoc decisions
  • Help shape the Data functions standards, tooling, and processes as an early leader

What You Have Done

  • 5+ years in data science, advanced analytics, or applied data modeling
  • Worked with large, messy datasets to answer ambiguous, highstakes questions
  • Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar
  • Written highquality SQL across warehouses like BigQuery, Snowflake, or Redshift
  • Influenced product, ops, or strategy decisions through data insight and storytelling
  • Presented findings to leadership and collaborated with crossfunctional teams

What Gives You An Edge

  • Experience with Python, Pandas, Scikitlearn, or ELK (Elasticsearch + Kibana)
  • Exposure to GCP data tools like BigQuery, DataFlow, or DataForm
  • Familiarity with healthcare data (claims, HL7, CCDAs, HIEs)
  • Experience with logistics, routing, or operational optimization problems
  • Designed or analyzed growth experiments or user behavior funnels
  • Communicated insights to Clevel stakeholders or mentored junior talent

Our Tech Stack

  • Python
  • SQL
  • Superset, Looker, Tableau, Grafana
  • BigQuery, Snowflake, Redshift
  • Elasticsearch / Kibana
  • FHIR, HL7, claims data (bonus)
  • Pandas, Scikitlearn, DataForm, DataFlow

What We Offer

  • Meaningful preIPO equity
  • Medical, dental, and vision plans 100% paid for you and your dependents
  • Flexible PTO + 10 paid holidays per year
  • 401(k) with match
  • 16week parental leave policy for birthing parent, 8 weeks for all other parents
  • HSA + FSA contributions
  • Life insurance, plus short and longterm disability coverage
  • Free daily lunch inoffice
  • Annual learning stipend

Salary

$180,000 $230,000 a year

Equal Opportunity

Sprinter Health is an equal opportunity employer. We value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.

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Job Tags

Full time, Work at office, Flexible hours,

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