Technical Lead Manager - Data Science

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.

We’re hiring a Tech Lead Manager, Data Science to tackle high-impact problems across logistics, patient behavior, clinical operations, and population health—while also leading a small, senior team of Data Scientists. This is a player-coach role: you’ll remain hands-on with analytical and modeling challenges, while setting direction and mentoring a team of 2 to 4 self-sufficient data scientists. You’ll turn messy, real-world healthcare data into insights that drive product direction, operational efficiency, and patient outcomes—and help your team do the same.

If you like asking hard questions and using data to solve problems that matter in the real world, this is that opportunity.

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.

• 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

• Manage a small team of 2 to 4 Data Scientists: set clear goals, provide regular feedback, conduct 1:1s, and support their career development

• Allocate team work across strategic projects and stakeholder requests in different product areas; unblock your ICs and maintain high throughput

• Remain a hands-on contributor: own complex modeling and analytical work yourself, and set the technical bar for the team

• 7+ years in data science, advanced analytics, or applied data modeling, with at least 1 year in a formal or informal people management or tech lead capacity

• 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 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

• Managed or tech-led a small team of data scientists, and supported their growth and delivery

• Mentored junior talent

• 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 optimization problems

• Designed or analyzed growth experiments or user behavior funnels

• Communicated insights to C-level stakeholders

• Python

• SQL

• Superset, Looker, Tableau, Grafana

• Big Query, Snowflake, Redshift

• Elasticsearch / Kibana

• FHIR, HL7, claims data (bonus)

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

• 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