Marketing Data Scientist
About ElevenLabs
ElevenLabs is an AI research and product company transforming how we interact with technology. We launched in January 2023 with the first human-like AI voice model. Today, we serve millions of users and thousands of businesses - from fast-growing startups to large enterprises like Deutsche Telekom and Meta. Our investors are some of the world's most prominent, including Andreessen Horowitz, ICONIQ Growth and Sequoia. We've raised $781M in funding and our last valuation was $22B - multiples of 11, always.
We have expanded from voice into three main platforms:
- ElevenAgents enables businesses to deliver seamless and intelligent customer experiences, with the integrations, testing, monitoring, and reliability necessary to deploy voice and chat agents at scale.
- ElevenCreative empowers creators and marketers to generate and edit speech, music, image, and video across 70+ languages.
- ElevenAPI gives developers access to our leading AI audio foundational models.
Everything we do is the result of the creativity and commitment of our team - builders doing the best work of their lives. We are researchers, engineers, and operators. IOI medalists and ex-founders. If you want to work hard and create lasting positive impact, we want to hear from you.
How we work
High-velocity
Impact not job titles
AI first
Excellence everywhere
Global team
What we offer
Innovative culture
Growth paths
Learning & development
Social travel
Annual company offsite
Co-working
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
Strong SQL and Python
Comfort designing measurement without a clean click-level signal
Strong stakeholder management
Structured thinker comfortable with ambiguity
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
Skills
Who can apply
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