Data Scientist - Applied Modeling and Feature Engineering
Own applied modeling and feature engineering for a consumer graph covering 270M+ Americans. Build and deploy probabilistic models (income, wealth, affinity estimation) and feature engineering pipelines at terabyte scale in production. Requires 2-10 years applied DS experience with production deployment, strong Python/SQL, and data pipeline expertise.
Key Highlights
Key Responsibilities
Technical Skills Required
Benefits & Perks
Job Description
An AI startup backed by 8VC and NBA Investments is hiring a Data Scientist to own the applied modelling and feature engineering behind a consumer graph covering 270M+ Americans. Clients include the NBA, Capital One, and the Miami Dolphins.
This is not a notebook role. You'll be building and deploying probabilistic models (income, wealth, affinity estimation) and feature engineering pipelines at terabyte scale — end to end, in production.
You'll need:
- 2-10 years applied DS experience with production deployment
- Strong Python and SQL
- Experience with data pipelines (dbt, Dagster, Airflow, or similar)
- Background from a high talent bar environment — quant fund, top-tier tech, or a top-10 PhD program
- Degree from a top-30 university in a quantitative field
Searching for Data Science roles that provide visa sponsorship? Connect with international employers through Data Science Jobs with Visa Sponsorship opportunities actively seeking talented professionals.
Not right for you if:
Explore our comprehensive directory of visa sponsorship jobs from employers worldwide who are ready to sponsor talented international professionals.
- You've only worked in notebooks or BI tools
- You build ML infra but don't do hands-on modelling
- You're not able to commit to 5 days onsite in Brooklyn, NYC
Visa sponsorship available. $200-225K plus equity.
If your work is in production and the scale is real — apply.
c
Similar Jobs
Explore other opportunities that match your interests
BeaconFire Inc.
syndesus, inc.
Senior Data Scientist - Safeguards & Analytics