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For Companies At a Glance
- Tasks: Uncover insights to drive product growth and enhance user engagement.
- Company: Join ElevenLabs, a leading audio AI company redefining technology.
- Benefits: Remote-first work, professional development stipend, and annual company offsite.
- Why this job: Make a real impact in the AI space while working with innovative teams.
- Qualifications: Strong skills in SQL, Python, and product analytics; A/B testing experience.
- Other info: Dynamic environment with endless opportunities for growth and collaboration.
The predicted salary is between 36000 - 60000 £ per year.
About ElevenLabs
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. 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.
How we work
- 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 across the whole company.
- Excellence everywhere: Everything we do should match the quality of our AI models.
- Global team: We prioritize your talent, not your location.
What we offer
- Innovative culture: You’ll be part of a generational opportunity to define the trajectory of AI.
- Growth paths: Joining ElevenLabs means joining a dynamic team with countless opportunities to drive impact.
- Learning & development: ElevenLabs proactively supports professional development through an annual discretionary stipend.
- Social travel: We provide an annual discretionary stipend to meet up with colleagues each year.
- Annual company offsite: Each year, we bring the entire team together in a new location.
- Co‑working: If you’re not located near one of our main hubs, we offer a monthly co‑working stipend.
About the role
We’re looking for a Data Scientist focused on product growth to uncover and drive the insights that accelerate activation, retention, and revenue growth across our Creative Platform. You’ll partner deeply with the product and engineering teams to understand user engagement, identify growth levers, and help us prioritize features and experiments that expand engagement and monetization.
Requirements
- Expertise in product analytics, with a strong foundation in SQL and Python and familiarity with analytics tools across the data stack.
- Strong product sense with an ability to derive actionable insights from qualitative and quantitative data.
- A deep understanding of key product metrics such as retention, activation, and LTV.
- Proven ability to design and analyze A/B tests, ensuring statistical integrity and actionable results.
- Not afraid to get your hands dirty to get the job done.
- Bonus: experience building data pipelines and dashboards.
Location
This role is remote‑first, so it can be executed from anywhere from US east to Europe. If you prefer, you can work from our offices in Dublin, London, New York, and Warsaw.
Data Scientist - Product employer: Elevenlabs
Contact Detail:
Elevenlabs Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Scientist - Product
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those at ElevenLabs. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data science prowess. Share it during interviews to demonstrate your hands-on experience.
✨Tip Number 3
Be ready to discuss your thought process. When tackling problems, explain how you approach data analysis and decision-making. It’s all about showcasing your product intuition!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Scientist - Product
Some tips for your application 🫡
Show Your Passion for AI: When you're writing your application, let your enthusiasm for audio AI shine through! We want to see how excited you are about the potential of AI and how it can change the world. Share any relevant projects or experiences that highlight your passion.
Tailor Your Application: Make sure to customise your application to fit the Data Scientist role at ElevenLabs. Highlight your experience with product analytics, SQL, and Python, and explain how these skills can help us drive growth on our Creative Platform. We love seeing how you connect your background to our mission!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what really matters. Use bullet points if needed to make your key achievements stand out – we want to see your impact!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re serious about joining our team at ElevenLabs!
How to prepare for a job interview at Elevenlabs
✨Know Your Data Inside Out
Make sure you’re well-versed in SQL and Python, as these are crucial for the role. Brush up on your product analytics skills and be ready to discuss how you've used data to drive insights in previous projects.
✨Understand the User Journey
Put yourself in the shoes of the users. Be prepared to talk about how you would measure key metrics like retention and activation. Think of examples where you’ve identified user drop-off points and how you addressed them.
✨A/B Testing Expertise
Familiarise yourself with A/B testing methodologies. Be ready to explain how you’ve designed and analysed tests in the past, ensuring statistical integrity and actionable results. This will show your hands-on experience and analytical mindset.
✨Show Your Problem-Solving Skills
Don’t shy away from discussing challenges you’ve faced in previous roles. Whether it’s debugging code or implementing new tools, share specific examples that highlight your ability to get your hands dirty and find solutions.