Data Science Manager, Marketing Science

Fora (Interview Calendar)•New York, NY

1d•Onsite

About The Position

Fora is building out its Data Science & Analytics team, and we're looking for a manager to lead our Marketing Data Science pillar. Fora operates a dynamic, three-sided marketplace connecting clients, advisors, and suppliers. Successfully measuring and optimizing our marketing and growth investments requires a solid marketing science foundation. As we scale our growth investments, this is a rare chance to build a marketing science function from the ground up. You'll lead and grow a team of data scientists focused on understanding and optimizing the full customer lifecycle across our marketplace, partnering with our Growth and Marketing leadership team. You'll own marketing measurement end to end: incrementality, attribution, media mix modeling, and predictive models of customer value. We are looking for a player-coach — someone who is able to manage senior individual contributors while getting their hands dirty themselves.

Requirements

7+ years in data science, marketing science, or analytics, including 2+ years managing data scientists or analysts. Experience at consumer or marketplace companies preferred.
Deep marketing measurement expertise — incrementality testing, experiment design, causal inference, attribution, and media mix modeling.
Track record of building or scaling a marketing measurement function, not just running one.
Hands-on technical depth: advanced SQL, and proficiency in Python or another scripting language.
Experience with machine learning models in production (LTV, propensity, or similar).
Experience with a modern cloud data stack (e.g. Airbyte, BigQuery, dbt, Hex, Omni, or equivalents) and data modeling best practices.
Experience using LLM tools (e.g. Claude Code, Cursor, OpenAI Codex) to accelerate analysis and prototyping.
A track record of hiring and developing strong data people.
Strong communication and storytelling skills, including with senior stakeholders.

Responsibilities

Lead and grow the Marketing Data Science pillar — hire, coach, and develop a team of data scientists partnering with Growth
Set the pillar's objectives and priorities in partnership with marketing leadership, and own delivery against them
Own Fora's marketing measurement approach — incrementality, attribution, media mix modeling — and the standards behind it
Partner with the CMO and growth leadership on channel investment, funnel optimization, and lifecycle strategy
Review models and experiment designs, unblock hard problems, and set the standard for quality
Help shape the broader Data Science & Analytics function