An AI native financial institution. We're making financial services fast and affordable for all, starting with accounting. Backed by Y Combinator.
About the role
As a Data Scientist at Minerva, you build the models and features that power our consumer graph and the agents that run on top of it. You sit at the intersection of heavy data engineering and applied modeling: you architect feature engineering pipelines that are computed over terabytes of data, train and sharpen the models that drive targeting and prediction, and ensure the outputs are robust enough to be consumed autonomously by our Minerva Agents and our world-class modeled attributes (i.e. income / wealth).
What they're looking for
- 2-4+ years working as a data scientist, applied machine learning focused data engineer or software engineer in a data-heavy context. Simply put, you live and breathe data
- Highly proficient at Python and SQL
- You are driven by first-principles thinking and are a go-getter. You reason about what datasets and features are necessary to solve a modeling problem, and are scrappy and clever enough to bring that to life
- Strong engineering background. You are comfortable deploying complicated production pipelines and working within larger production systems, not just in sandboxed or research environments
- Willingness to work in office in NYC (we provide a relocation package)
- Flexibility and openness to wearing several hats. We are lean and things are always changing
More about this role
Minerva builds AI for marketing leaders. Our platform allows marketers to focus on telling their brand's story, delegating operationally intensive to our AI agents which handle data management, analytics, campaign generation, measurement, and reporting.
Everything is built on Minerva's proprietary consumer graph, an identity and attribute layer covering 270M+ U.S. consumers across 1,000+ temporal attributes. We have two agentic systems built through an OpenAI research partnership: an Agentic Data Engineer that unifies and standardizes a brand's first party data in hours, and an Agentic Data Scientist that trains robust targeting models at scale. Together, these systems enhance the quality of first party data, increase campaign performance, and give marketing teams back their time.
Our clients include leading consumer brands across categories: the NBA, Ramp, Capital One, Hard Rock Stadium Group / Miami Dolphins, Wander, and Trust & Will. We have raised $20M from The General Partnership, 8VC, Lingotto, NBA Investments, Topology Ventures, Future Positive, Background Capital, and others.
As a Data Scientist at Minerva, you build the models and features that power our consumer graph...
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