Data Scientist - Product Analytics

ElevenLabs is an AI research and product company that launched in January 2023 with groundbreaking human-like voice technology. The company now serves millions of users and thousands of businesses globally, including major enterprises like Deutsche Telekom and Meta. With a valuation of 22 billion dollars and backing from top-tier investors including Andreessen Horowitz and Sequoia, ElevenLabs has expanded into three core platforms: ElevenAgents for enterprise voice and chat solutions, ElevenCreative for multimodal content generation across 70 plus languages, and ElevenAPI for developer access to advanced AI audio models. The organization operates with a high-velocity, impact-driven culture that prioritizes talent over titles and integrates AI throughout all functions.

The Growth Data team at ElevenLabs is seeking a Data Scientist focused on Product Analytics to drive insights into user discovery, adoption and retention across the company's product ecosystem. This role pairs deep analytical work with cross-functional collaboration in a remote-first environment.

What you'll do

• Own product health metrics including activation, feature adoption, retention and engagement across ElevenCreative, ElevenAgents and ElevenAPI platforms.
• Design, execute and communicate results from product experiments such as A/B tests and feature launches.
• Collaborate with Analytics Engineering to develop and maintain a certified metrics layer in dbt that drives consistent product KPIs.
• Transform vague product questions into clear, defensible analysis and reusable metrics frameworks.
• Work with fellow Growth data scientists on questions spanning the product funnel, including marketing and revenue considerations.

What you'll bring

• Demonstrated background as a data scientist embedded with a product or growth team, preferably at a product-led company.
• Strong proficiency in SQL and Python with hands-on experimentation experience, particularly A/B testing and product analytics.
• Ability to convert ambiguous stakeholder questions into structured analysis while maintaining analytical rigor.
• Comfort engaging directly with Product and Growth teams and the judgment to challenge poorly defined requests.
• A structured thinking approach that balances speed with methodological soundness.

Nice to have

• Experience with activation or retention modeling and lifecycle analytics in consumer or prosumer products.
• Familiarity with dbt or modern data warehousing environments, plus direct collaboration with analytics engineers.
• Hands-on experience leveraging AI tools to accelerate analysis or enable self-serve data capabilities.

What they offer

• Annual professional development stipend and dedicated budget for annual team travel experiences.
• Annual company offsite in rotating international locations, with past events held in Croatia and Italy.
• Monthly co-working stipend for those outside primary office hubs in London and Warsaw.
• Fully remote role operating across European timezones, with optional office access available.