Data Scientist

Data Scientist DATA SCIENTIST San Francisco, CA About us Metriport is an open-source data intelligence platform that helps healthcare organizations access and exchange patient data in real-time. We integrate with all major US healthcare IT systems and tap into comprehensive medical data for 300+ million individuals. We've found product-market fit with multi-million ARR, 100+ customers (including Amazon, Color, and Strive Health), backing from top VCs, and years of runway. We're ready to scale. We're a tight-knit, high-performing team of mostly former founders (including two YC alumni). We're engineering-heavy, operate with minimal bureaucracy and high autonomy, and hire based on competence, not prestige. We push hard—founders work six days a week from our SF office—but give everyone freedom to craft their schedule. We measure output and we're committed to sustainable intensity. ABOUT YOU In a nutshell, we're looking for an analytics powerhouse who acts like a product owner. You aren't just a "dashboard builder"; you are the architect of our data ecosystem and the value we derive from it: - You’re entrepreneurial-minded, with an olympian-level work ethic. - You are obsessed with data integrity. If a metric is off by 1%, it keeps you up at night until you find the root cause. - You believe that high-quality clinical data is the bedrock of excellent healthcare, and you’re excited to map complex patient records into structured, efficient warehouses for downstream use. - You have a strong sense of ownership and the ability to lead cross-functional initiatives without hand-holding. - You care more about the insights and the "so what?" than just the technical complexity of the query. - When someone asks for a report by next week, you ask yourself "how can I build a self-service tool that answers this permanently by tomorrow?" - You’re a hacker at heart, and you’re comfortable writing code to get the job done. WHAT YOU'LL BE DOING After quickly ramping up on our clinical data domain, your goal is to own the "brain" of Metriport. You will be the bridge between raw engineering output and actionable customer success. Specifically, day to day, this looks like: - Owning data quality and analytic integrity within the product-engineering space: Ensuring that every chart, report, and insight we share—internally or externally—is 100% accurate and trustworthy. - Owning the Analytics Stack: You will be the primary owner of our analytics tooling (e.g., Posthog) and ensure these systems are correctly implemented, optimized and accessible. - Productizing Analytics: Designing and shipping analytic suites as core features of the Metriport platform, allowing customers to understand their patient population from our UI or their data warehouse. - Advanced Projects: - Applying AI/ML models to our data warehouse to predict patient outcomes or identify gaps in care. - Writing Python or TypeScript to automate data enrichment or build custom internal tools. - Using LLMs or the like to help normalize messy clinical data into structured, searchable insights. - Participating in a daily 30 minute remote stand-up at 7:30am PST Mon-Fri (our only regular mandatory meeting). REQUIREMENTS - 4+ years of experience in a high-growth data science or data analytics role. - Mastery of SQL: You can write complex, performant queries in your sleep. - Tooling Expertise: Deep experience with product analytics tools (like Posthog, Mixpanel, or Amplitude) and BI platforms. - Coding Proficiency: You are comfortable in Python (pandas/scikit-learn) or TypeScript for data manipulation and automation. - Data Modeling: Experience with dbt or similar tools to transform raw warehouse data into clean, documented schemas. - Location: You’re located in San Francisco or the Bay Area (or willing to relocate). - Healthcare Plus: Experience with FHIR, HL7, or clinical data is a massive plus. Understanding how a patient moves through the healthcare system is the c ... (truncated, view full listing at source)