Join ElevenLabs as a Marketing Data Scientist to measure and optimize offline media and strategic marketing campaigns.
Posted by employer 1 day ago
First seen on Joblaze 3 hours ago
Last verified on the company career page 3 hours ago
Skills & Technologies
What you'll build
Must have
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AI in the day-to-day
We use AI to move faster with higher-quality results across the whole company.
Not disclosed in this posting: compensation, years of experience, visa sponsorship.
Benefits
Joblaze summary
In this role, the Marketing Data Scientist at ElevenLabs focuses on evaluating the effectiveness of offline marketing channels, such as billboards and sponsorships, by designing and implementing measurement frameworks. Proficiency in SQL and Python is essential, along with experience in causal inference and media mix modeling. This position is suited for someone with a strong background in measuring marketing effectiveness, particularly in less trackable channels, and who is comfortable navigating ambiguity. The team operates with a high degree of autonomy and emphasizes rapid experimentation.
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Quick facts
From the original posting
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.
High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.
Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI, surrounded by a team pushing the boundaries of what’s possible.
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.
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.
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
Standard company text repeated across ElevenLabs's postings is omitted here.