Data Scientist

We are looking for a Data Scientist with 2+ years of experience to own the applied modeling and feature engineering that powers Minerva's consumer graph and agentic systems. You'll be a generalist problem-solver who lives and breathes data – stitching together disparate sources into unified consumer profiles, building probabilistic models for income, wealth, and affinity estimation, and deploying everything to production. This is a high-intellectual-horsepower role where the problems are unintuitive and the data is at terabyte scale. You'll own the full path from raw data to trusted attributes that agents and enterprise clients consume autonomously.

What you will be doing

- Stitching disparate third-party data sources into a unified 360 consumer profile – heavy data engineering with DS-style thinking layered on top

- Building and deploying estimation models (income, wealth, affinities) and deriving probabilistic attributes from consumer data

- Creating and refining feature engineering pipelines that run reliably at terabyte scale in production

- Taking on custom enterprise data science work for clients like Capital One – running end-to-end from raw data to deployed model

- Ensuring model outputs are robust and reliable enough to be consumed autonomously by Minerva's AI agents