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.