Data Science Manager, Marketing Science

About The Role

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.

Key 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

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.

Compensation

Compensation for this role varies based on experience. Final compensation will depend on the level at which the candidate is hired, as we're considering multiple levels for this role.

• Unlimited vacation
• Health Insurance (including an option completely covered by Fora HQ)
• Dental & Vision Insurance
• Wellhub Memberships
• 401k plan with company match
• Commuter Benefits
• Supplemental Life Insurance
• Stock Options

This role is based in our beautiful New York City office (Tribeca/Fidi) with lots of natural light and great views.

Work Authorization

Authorization to work in the United States is required for full-time roles based in our New York City office. Fora is unable to sponsor or assist with U.S. work authorization. Roles based outside of the United States are not subject to this requirement.