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About the Role

As a Data Scientist at Minerva, you will build the models and features powering our consumer graph and its AI agents. This role involves significant data engineering and applied modeling, architecting feature engineering pipelines for terabytes of data, training models for targeting and prediction, and ensuring robust outputs for autonomous agent consumption.

Responsibilities

Create new features for models and agents, expanding the predictive surface area of our consumer data lake and building the pipelines that turn raw signal into trusted attributes.
Improve existing models through rigorous feature engineering, including our income/wealth, home buyer, and home seller models.
Play a pivotal role in the buildout of our world-class data lake, shaping how terabytes of consumer data are stored, transformed, and made queryable for both humans and agents.
Build feature engineering pipelines that run efficiently at terabyte scale, with the data engineering rigor to make them reliable in production.
Ensure model and feature outputs are reliable enough to be consumed agentically, writing the validations and guardrails that let our agents act on your work without a human in the loop.

Requirements

2-4+ years working as a data scientist, applied machine learning focused data engineer or software engineer in a data-heavy context.
Highly proficient at Python and SQL.
First principles thinking and is a go-getter.
Able to reason about what data sets and features are necessary to solve a modeling problem, and both scrappy and clever enough to bring that to life.
Strong intuition for data engineering principles, especially around data cleaning/ingestion and data modeling.
Strong engineering background. Comfortable deploying complicated production pipelines and working within larger production systems.
Willingness to work in office in NYC.
Flexibility and openness to wearing several hats.
Eagerness to learn and grow with the company and your coworkers.

Skills

Python
SQL
Data Engineering
Modeling
Feature Engineering
Data Cleaning
Data Ingestion
Data Modeling
Production Pipelines
Predictive Models
Orchestration Tools
Transactional Databases
Analytical Databases
Cloud Resource Provider
Backend Engineering
ML/AI Engineering
AI Coding Tools

Location

Work Type

Onsite
Full-time

Experience Level

2-4+ years

Salary/Compensations

$200,000 to $225,000

Benefits

Competitive equity
Marquee benefits package
Relocation package

About the Company

Minerva builds AI for marketing leaders, enabling them to focus on brand storytelling while AI agents handle data management, analytics, campaign generation, measurement, and reporting.
The platform utilizes Minerva's proprietary consumer graph, an identity and attribute layer covering 270M+ U.S. consumers.
Features two agentic systems developed with OpenAI: an Agentic Data Engineer for first-party data unification and an Agentic Data Scientist for scalable targeting model training.
Clients include leading consumer brands such as the NBA, Ramp, Capital One, and others.
Raised $20M from prominent investors including The General Partnership and 8VC.

Data Scientist at Minerva | New York, USA | Rezi

Data Scientist at Minerva