Senior Data Scientist

AT A GLANCE

RVO Health is building an industry-leading healthcare platform that integrates the consumer health journey — helping people access the right information, care, and services at the right time. Formed through a partnership between Red Ventures and United Health Group, we combine world-class consumer analytics with one of the largest healthcare networks in the world. We're a growing team made up of a mix of data scientists, machine learning engineers, analytics engineers, data engineers, and product managers.

We welcome candidates from different backgrounds and believe that diverse, inclusive teams are better teams.

We're looking for a Senior Data Scientist to join a fast‑moving team building ML and AI solutions for consumer health behavior change products. You'll work on problems where your models directly influence real health outcomes for millions of users. We move fast, iterate often, and expect our scientists to thrive in ambiguity.

To prioritize togetherness, culture, and accountability, RVO Health operates on an in‑office work schedule. We expect employees who are in close proximity to our office hubs to work from our Fort Mill SC, Minneapolis MN, or Denver CO office Tuesday, Wednesday and Thursday each week. You are welcome to work remotely Mondays and Fridays if you wish.

Address: 11000 Optum Cir, Eden Prairie, MN 55344

This role is also open remotely for those not in an office location.

• Design and build evaluation pipelines to measure AI and LLM output quality, including automated annotation frameworks and human‑in‑the‑loop review workflows
• Apply NLP techniques to clinical and claims data to extract structured insights that inform product and health outcomes
• Build and improve search and retrieval systems that connect users to relevant, accurate health information using semantic search and RAG architectures
• Develop and ship generative AI applications — moving rapidly from proof of concept to production
• Partner closely with Product Managers and Engineers to translate ambiguous health problems into concrete, measurable data science solutions
• Stay current on state‑of‑the‑art techniques and quickly evaluate what is worth building versus what is noise
• Lead cross‑functional execution with stakeholders across product, engineering, and clinical teams
• Contribute to a team culture that is inclusive, intellectually honest, and moves with urgency

You are comfortable owning problems end-to-end, shipping fast, and adjusting course when the data or product direction changes. You don't need perfect requirements to get started.

• Generative AI & LLMs — experience building applications with LLMs, prompt engineering, RAG pipelines, Lang Chain, or similar tooling
• Evaluation & Measurement — designing and building pipelines to assess AI/LLM output quality, including automated annotation, human‑in‑the‑loop review, and defining metrics that reflect real health outcomes
• Clinical NLP & Claims Data — extracting structured insights from unstructured clinical text and/or working with medical claims data to understand patient journeys, diagnoses, and treatment patterns
• Search & Retrieval — building systems that help users find relevant health information, including semantic search, dense retrieval, and RAG architectures
• Behavioral modeling — understanding user engagement, retention, and habit formation patterns in the context of health behavior change

• PhD in a quantitative field (e.g., CS, Stats, or Physics) or a Master’s degree with 3+ years of industry experience, specifically focused on shipping production‑grade ML/AI solutions in complex domains like healthcare
• Strong Python skills; experience deploying models in production environments
• Familiarity with deep learning frameworks (PyTorch, Tensor Flow) and NLP techniques (Transformers, LSTMs)
• Experience with vector databases, embeddings, or retrieval‑augmented generation
• Hands‑on experience with healthcare data (claims, EHR, or clinical text) is a strong plus
• Demonstrated ability to move from research to production — not just notebooks
• Comfortable working with cross‑functional…