Sprinter Health
Clinical Data - Senior/ Staff Data Scientist
Sprinter Health, San Francisco, California, United States
Clinical Data - Senior/ Staff Data Scientist
About Sprinter Health
At Sprinter Health, our mission is reimagining how people access care by bringing it directly to their homes. Nearly 30% of patients in the U.S. skip preventive or chronic care simply because they can’t get to a doctor’s office. For many, the ER becomes their first touchpoint with the healthcare system—driving over $300B in avoidable costs every year. We have supported more than 2 million patients across 22 states, completed 130,000+ in‑home visits, and maintained a 92 NPS. Our team of clinicians, technologists, and operators has raised over $125 M from investors such as a16z, General Catalyst, GV, and Accel.
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 is a 0→1 role where your work 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.
Office Location We are a hybrid company based in the Bay Area with offices in 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 paid 100% for you and your dependents.
Flexible PTO + 10 paid holidays per year.
401(k) with match.
16‑week parental leave for birthing parent, 8 weeks for other parents.
HSA + FSA contributions.
Life insurance, short‑ and long‑term disability coverage.
Free daily lunch in‑office.
Annual learning stipend.
$180,000 – $225,000 a year.
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.
Beware of recruitment fraud and scams. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles on our official Sprinter Health Careers website.
#J-18808-Ljbffr
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 is a 0→1 role where your work 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.
Office Location We are a hybrid company based in the Bay Area with offices in 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 paid 100% for you and your dependents.
Flexible PTO + 10 paid holidays per year.
401(k) with match.
16‑week parental leave for birthing parent, 8 weeks for other parents.
HSA + FSA contributions.
Life insurance, short‑ and long‑term disability coverage.
Free daily lunch in‑office.
Annual learning stipend.
$180,000 – $225,000 a year.
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.
Beware of recruitment fraud and scams. If you are applying for a job, you can confirm the legitimacy of a job posting by viewing current open roles on our official Sprinter Health Careers website.
#J-18808-Ljbffr