Senior Data Scientist, Marketing Science

Fora•New York City, NY

1d•$130,000 - $185,000•Onsite

About The Position

Fora is hiring a Senior Data Scientist to help us scale our marketing and growth initiatives. As our GTM organization grows, we're looking for someone to refine how we measure incrementality and run experiments to help us scale acquisition, engage users, and drive growth across the entire customer lifecycle. This is a foundational role on the Data Science & Analytics team. You'll operate as a strategic partner to Growth leadership, helping drive decisions around channel investments, funnel optimization, lifecycle strategy, and sales motions.

Requirements

5+ years in growth data science, marketing science, or consumer analytics. Experience at consumer or marketplace companies preferred.
Deep marketing measurement experience — incrementality testing, experiment design, causal inference, attribution, and media mix modeling.
Experience building machine learning models and putting them into production.
Advanced SQL skills are essential.
Proficiency in Python or another scripting language preferred.
Hands-on 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.
Strong communication and storytelling skills.
Deeply curious with a drive to learn.
Pragmatic. Looking for real world business impact, not a science project.
A collaborative and empathetic mindset with experience supporting and leveling up your peers.

Responsibilities

Drive quantitative rigor in marketing performance measurement
Design and analyze incrementality experiments, including geo tests, holdouts, and lift studies
Partner with customer acquisition, lifecycle, and membership teams to test new channels and shape growth strategy
Own attribution and media mix modeling to guide where the next marketing dollar gets invested
Model customer value, propensity, and retention to sharpen customer targeting and personalization
Raise the bar across the data team — mentor peers, establish best practices, and shape the team's processes, tools, and standards