Marketing Data Scientist

ABOUT THE ROLE

We're looking for a Data Scientist to support ElevenLabs' offline media and strategic marketing bets: from OOH billboards to niche sponsorships and experimental brand campaigns. You'll build the frameworks that tell us whether a channel with no click to track is actually working, partnering closely with Marketing and the Growth Data team.

•Design and run measurement for offline / out-of-home campaigns: geo holdout tests, matched-market tests, media mix modelling and incrementality studies.

•Partner directly with Marketing leadership on which niche channels, markets or formats to test next, and size the bet.

•Build models that combine offline spend data with digital and product signals into one coherent view of marketing effectiveness.

•Work alongside the Growth Data team's digital marketing data scientists to keep offline and online measurement consistent.

REQUIREMENTS

Demonstrated experience measuring marketing effectiveness, ideally including offline, brand or hard-to-track channels (OOH, TV, podcast, sponsorship, events).

•Strong SQL and Python, with experience in causal inference, media mix modelling or incrementality testing.

•Comfort designing measurement without a clean click-level signal, and communicating uncertainty honestly.

•Strong stakeholder management with Marketing / Brand leadership, able to turn a strategic question into a testable plan.

•Structured thinker comfortable with ambiguity: this is a newer, less-defined function.

Bonus:

•Experience specifically with OOH, billboard or experiential campaign measurement.

•Experience with media mix modelling tools or frameworks (Robyn, Recast, LightweightMMM or similar).

•Experience partnering with brand or creative teams on niche or unconventional marketing bets.

LOCATION

This role is remote-first, so it can be executed from anywhere in Europe or the US East Coast, with the ability to operate in CET / ET timezones required. If you prefer, you can work from our offices in London, Warsaw, Dublin or New York.

#LI-remote

We are an equal opportunity employer and do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, veteran status, disability or other legally protected statuses.