Data Scientist

Metriport • San Francisco, CA

8d • Onsite

About The Position

We're looking for a data scientist who thrives in ambiguity and cares as much about getting the fundamentals right as building the next model. At Metriport, you won't be handed a clean dataset and a well-scoped problem — you'll be building the data foundation alongside our engineering team while applying science to some of the messiest, most impactful data in healthcare.
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 work at the intersection of ML and patient records.
You have a strong sense of ownership and the ability to lead cross-functional initiatives with minimal direction.
You care about impact over sophistication. You'd rather ship a logistic regression that changes a workflow than a transformer that lives in a notebook.
You're excited to go wide. In a small team, the best data scientist is also a great analyst — and you see that as a feature, not a compromise.
You're a hacker at heart, and you're comfortable writing production-grade code to get the job done.

Requirements

• 4+ years of experience in a data science role, ideally at a high-growth or startup company where you wore multiple hats.
• SQL mastery: You can write complex, performant queries in your sleep.
• ML/statistical modeling: Practical experience building and deploying models (classification, regression, clustering, NLP) — not just prototyping.
• Coding proficiency: Strong in Python (pandas, scikit-learn, and ideally some experience with LLM APIs or frameworks). TypeScript proficiency is a plus — our stack is TypeScript-heavy.
• Analytical chops: You're comfortable owning dashboards, data quality, and ad-hoc analysis. You see this as part of the job, not beneath it.
• Location: San Francisco / Bay Area (or willing to relocate).

Nice To Haves

• Experience with healthcare data is strongly preferred — FHIR, HL7, or clinical data. Understanding how a patient moves through the healthcare system is the core of what we do.
• Experience with data modeling tools (dbt or similar) and product analytics platforms (PostHog, Mixpanel, Amplitude).
• Experience integrating models into backend services or APIs (not just notebooks).

Responsibilities

• Applying AI/ML to Clinical Data: Building and deploying models to predict patient outcomes, identify gaps in care, or surface anomalies across our data warehouse.
• Normalizing Clinical Data at Scale: Using NLP, LLMs, or rule-based systems to transform messy, unstructured clinical records into structured, searchable, trustworthy data.
• Owning Analytics When It Matters: You'll share ownership of our analytics stack and data quality alongside the team. When a customer needs an accurate report or the team needs a reliable metric, you're just as accountable as anyone.
• Productizing Intelligence: Designing and shipping data-science-powered features as core parts of the Metriport platform — not just internal experiments, but things customers use.
• Building the Data Foundation: Contributing to data modeling, warehouse design, and tooling (dbt, DWHs, PostHog, etc.) as we scale our data infrastructure. Science without solid foundations is noise.
• Team alignment: Participating in a daily 30-minute remote standup at 7:30 AM PST Mon–Fri (our only regular mandatory meeting).

Benefits

• Competitive equity + compensation package 🚀
• Full family Platinum health insurance, dental, and vision coverage 🦷
• 401(k) retirement plan + matching 💰
• Flexible work from home or in-office 🏢
• Healthy lunches are complimentary when working in-office (and breakfast + dinners as needed) 🍏
• Quarterly company off-sites with the team ⛷️
• MacBook provided by us 💻
• Unlimited PTO (we work hard, but trust you to take time you need to be at your best) 🧘‍♂️

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 1-10 employees