Staff Data Scientist

NexHealth’s mission is to accelerate innovation in healthcare. Fixing healthcare is the challenge of our generation. This industry is stuck in the 1990s while affordability and accessibility are spiraling out of control. We currently spend ~20% of GDP on healthcare, while the 25% of the world's data is stuck on legacy and antiquated health systems. NexHealth’s goal is to create an open and modern ecosystem to accelerate innovation in the space. We make it easier for everybody to build in healthcare, and ultimately empower ordinary people with access to more modern, efficient and affordable healthcare solutions.

Founded: 2017
Headquarters: San Francisco, CA
Funding: $177M through Series C
Employees: 190
Website: https://www.nexhealth.com/

We’re looking for a Staff Data Scientist who wants to build. You will design NexHealth’s financial data foundation from the ground up: the pipelines, models, and dashboards that power revenue reporting, forecasting, and decision-making across the company. This is a zero-to-one role where you will move fast, ship scalable systems, and apply first-principles thinking to every modeling decision. If you love combining engineering with analytical depth, this is your canvas.

• Architect financial data systems. Design and implement the data pipelines and models (Snowflake, dbt, Sigma) that unify billing, revenue, and product usage data into a single source of truth.
• Build automation from scratch. Replace manual spreadsheets and ad hoc analyses with code-driven forecasting pipelines powered by Stripe, Chargebee, and internal APIs.
• Partner with leadership to define the metrics that matter. Translate executive questions into reproducible models for ARR, churn, and cohort health — with clear assumptions and data lineage.
• Scale data contracts and governance. Define schemas, enforce data integrity tests, and own the process for evolving definitions as the business scales.
• Build product insight systems. Connect product usage, configuration, and retention data to customer outcomes. Deliver dashboards and models that reveal adoption trends, churn risks, and opportunities to improve product performance.
• Lead by example. Mentor analysts and engineers in data modeling, testing, and system design.

• At least seven years of experience in data science or analytics engineering at a high-growth SaaS company, ideally where you built foundational systems
• Strong skills with modern data stacks such as Snowflake, dbt, and Sigma (or similar BI tools)
• Deep understanding of SaaS financial metrics such as ARR, churn, retention, lifetime value, and CAC payback, and how to model them in SQL and code
• Experience designing automated data pipelines and forecasting systems using APIs from tools like Chargebee, Stripe, or Salesforce
• Solid engineering instincts, including version control, testing, and CI/CD for analytics
• Strong communication and storytelling skills that connect insights to decisions
• A builder mindset: excited by blank slates, scaling impact through automation, and simplifying complexity through systems

As Nexers, we are strong owners and first principle thinkers who can execute and deliver fast, hungry for learning and personal growth, and we make sure the company succeeds above all else.

As such, our culture is shaped with the following principles:

• Strong ownership: Knows what needs to be done, and gets it done with little or no oversight.
• Bias for action: Outcome oriented. Delivers results fast.
• Acts with first principles: Describes the ideal end state with first principles, and helps us get there fast.
• Growth mindset. Hungry for learning and personal growth.
• Company first: Does whatever is right for the company and our customers.

• Competitive salary plus equity
• Commuter benefits
• 401K
• Full Medical, Dental and Vision
• Unlimited PTO