Turning consumer data into brand revenue through applied AI.
Data Scientist
Brands are drowning in consumer signals but starving for actual top-line growth. This role bridges that gap by designing the data models and pipeline architecture that convert raw behavioral input into measurable revenue. You will build the analytical backbone powering our core AI products, working across the entire stack from data ingestion to model deployment. It is a hands-on position for a builder who wants to dictate how an early-stage data foundation is laid.
What they're looking for
- 2 to 10 years of professional experience in data science, analytics engineering, or a related technical field
- Proven fluency with Python and SQL within large-scale data environments
- Direct production experience with Snowflake, PostgreSQL, and Airflow orchestration
- Working knowledge of AWS infrastructure for deploying and scaling data pipelines
- Ability to operate on-site in the New York metro area five days a week