Data Scientist

ElevenLabs is a research and product company defining the frontier of audio AI. Millions of people use our technology to read articles, voice over videos, and restore voices lost to disability. Leading developers and enterprises worldwide use ElevenLabs to build intelligent agents for support, sales, and education.

We launched in January 2023 with the first AI model to cross the threshold of human-like speech. In January 2025, we raised a $180 million Series C round, valuing the company at $3.3 billion. By September 2025, that valuation doubled to $6.6 billion as we surpassed $200 million ARR in under three years.

Our mission is to build the most important audio AI platform in the world, solve AI audio intelligence, and make information accessible in any voice, language, or sound.

Our core offerings are our Creative Platform and the Agents Platform, powered by proprietary Text to Speech, Speech to Text, and conversational AI models.

We are just getting started. If you want to work hard and create lasting impact, we would like to hear from you.

• High-velocity: Rapid experimentation, lean autonomous teams, and minimal bureaucracy.

• Impact not job titles: We don’t have job titles. Instead, it’s about the impact you have. No task is above or beneath you.

• AI first: We use AI to move faster with higher-quality results. We do this across the whole company—from engineering to growth to operations.

• Excellence everywhere: Everything we do should match the quality of our AI models.

• Global team: We prioritize your talent, not your location.

• 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.

• Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact - beyond your immediate role and responsibilities.

• Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.

• Social travel: We also provide an annual discretionary stipend to meet up with colleagues each year, however you choose.

• Annual company offsite: Each year, we bring the entire team together in a new location - past offsites have included Croatia and Italy.

• Co-working: If you’re not located near one of our main hubs, we offer a monthly co-working stipend.

We’re looking for an experienced, hands-on Data Scientist to embed into and support analytics within RevOps and Finance teams. 

In this role, you will:

• Ensure Data Quality & Integrity: Implement automated data validation and cleansing processes to maintain high-quality datasets, reducing errors that could impact financial reporting or revenue forecasting.

• Develop Data Models: Create and maintain data models that drive key performance indicators (KPIs) for revenue operations and finance.

• Build Intuitive Dashboards for Revenue Insights: Design and maintain user-friendly dashboards tailored for revenue leaders, focused on key business metrics such as lead conversion rates, pipeline coverage, sales velocity, and win/loss trends. Prioritize clarity and usability, enabling teams to self-serve insights and track performance against targets. 

• Support Ad Hoc Analysis and Strategic Questions: Act as a thought partner to GTM stakeholders by rapidly answering ad hoc data questions, conducting deep-dive analyses, and providing clear, actionable takeaways grounded in data.

• Document Processes & Methodologies: Maintain thorough documentation of data pipelines, models, and analytical methodologies to facilitate transparency and ensure consistency across teams.

• A track record of partnering with RevOps and Finance teams to translate business challenges into data-driven solutions, ensuring alignment on key performance metrics.

• Proficiency with tools across the modern data stack (python, SQL, BI tools, dbt)

• Bonus: familiarity with Salesforce, Gong, Stripe, Netsuite APIs

This role is remote and can be executed globally. If you prefer, you can work from our offices in Bangalore, Dublin, London, New York, San Francisco, Tokyo, and Warsaw.

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