Sprinter Health
Clinical Data - Senior Data Scientist
Sprinter Health, San Francisco, California, United States, 94199
Overview
Clinical Data - Senior Data Scientist
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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 can’t get to a doctor’s office, driving over $300B in avoidable costs annually. We’ve supported more than 2 million patients across 22 states, completed 130,000+ in‑home visits, and maintained a 92 NPS. Data is core to how we deliver care, allocate clinicians, and understand population risk. About The Role
We’re hiring a Senior / Staff Data Scientist to tackle high‑impact problems across logistics, patient behavior, clinical operations, and population health. This 0→1 role directly shapes how care is delivered, optimized, and scaled. You’ll turn messy, real‑world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve real‑world 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 work‑life 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 supply‑demand dynamics across regions Identify drivers of preventive care engagement and patient follow‑through 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 ad‑hoc decisions Help shape the Data function’s 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, high‑stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high‑quality 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 cross‑functional teams What Gives You An Edge
Experience with Python, Pandas, Scikit‑learn, 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 C‑level 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, Scikit‑learn, DataForm, DataFlow What We Offer
Meaningful pre‑IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16‑week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long‑term disability coverage Free daily lunch in‑office 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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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 can’t get to a doctor’s office, driving over $300B in avoidable costs annually. We’ve supported more than 2 million patients across 22 states, completed 130,000+ in‑home visits, and maintained a 92 NPS. Data is core to how we deliver care, allocate clinicians, and understand population risk. About The Role
We’re hiring a Senior / Staff Data Scientist to tackle high‑impact problems across logistics, patient behavior, clinical operations, and population health. This 0→1 role directly shapes how care is delivered, optimized, and scaled. You’ll turn messy, real‑world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes. If you like asking hard questions and using data to solve real‑world 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 work‑life 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 supply‑demand dynamics across regions Identify drivers of preventive care engagement and patient follow‑through 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 ad‑hoc decisions Help shape the Data function’s 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, high‑stakes questions Built dashboards or visualizations using Looker, Tableau, Grafana, Superset, or similar Written high‑quality 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 cross‑functional teams What Gives You An Edge
Experience with Python, Pandas, Scikit‑learn, 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 C‑level 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, Scikit‑learn, DataForm, DataFlow What We Offer
Meaningful pre‑IPO equity Medical, dental, and vision plans 100% paid for you and your dependents Flexible PTO + 10 paid holidays per year 401(k) with match 16‑week parental leave policy for birthing parent, 8 weeks for all other parents HSA + FSA contributions Life insurance, plus short and long‑term disability coverage Free daily lunch in‑office 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.
#J-18808-Ljbffr