Clinical Data - Senior 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.

By using the same technologies that power leading marketplace and last‑mile platforms, we deliver care where people are, especially those who need it most. So far, we’ve 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 have raised over $125M to date investors like a16z, General Catalyst, GV, and Accel and enjoy multi‑year runway.

Data is core to how we deliver care, allocate clinicians, and understand population risk—and we’re now building the team to scale that impact.

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, optimised, 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 problems that matter in the real world, 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 behavioural 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 modelling

• Worked with large, messy datasets to answer ambiguous, high‑stakes questions

• Built dashboards or visualisations using Looker, Tableau, Grafana, Superset, or similar

• Written high‑quality SQL across warehouses like Big Query, 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 Big Query, Data Flow, or Data Form

• Familiarity with healthcare data (claims, HL7, CCDAs, HIEs)

• Experience with logistics, routing, or operational optimisation problems

• Designed or analysed growth experiments or user behaviour funnels

Communicated insights to C‑level stakeholders or mentored junior talent

Our Tech Stack

• Python

• SQL

• Superset, Looker, Tableau, Grafana

• Big Query, Snowflake, Redshift

• Elasticsearch / Kibana

• FHIR, HL7, claims data (bonus)

• Pandas, Scikit‑learn, Data Form, Data Flow

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

$180,000 - $230,000 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, colour, national origin, gender, sexual orientation, age, marital status, veteran status, disability status or other protected classes.

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