Data Scientist – Product Analytics

Job not on LinkedIn

🔥 4 hours ago

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ElevenLabs

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

📱 Media

💰 $19M Series A on 2023-06

Artificial Intelligence • Media

ElevenLabs is a research lab dedicated to exploring new frontiers in voice generation. Their mission focuses on making content universally accessible in any language and voice. Through innovative research and deployment of novel methods in voice AI, ElevenLabs aims to enhance the enjoyment of content for diverse audiences and viewers.

📋 Description

• Own analysis of how users discover, adopt, and retain ElevenLabs products • Define and own product health metrics, including activation, feature adoption, retention, and engagement • Design, analyse, and communicate product experiments, including A/B tests, feature launches, and onboarding changes • Partner with Analytics Engineering on the certified product KPI layer in dbt • Partner with Product to turn ambiguous questions into trusted analysis • Work with Growth data scientists on marketing- and revenue-adjacent questions affecting the product funnel

🎯 Requirements

• Demonstrated experience as a data scientist embedded with a product or growth team, ideally at a product-led company • Strong SQL and Python skills • Hands-on experience with experimentation (A/B testing) and product analytics • Ability to translate ambiguous product questions into clear, reusable analysis and defensible metrics • Comfort working directly with Product and Growth stakeholders and pushing back on ill-defined asks • Structured thinking and ability to move quickly without sacrificing rigour • Experience with activation/retention modelling or lifecycle analytics at a consumer or prosumer product is a bonus • Experience with dbt or a modern warehouse and direct partnership with analytics engineers is a bonus • Experience using AI tools or agents to speed up analysis or enable self-serve data access is a bonus

🏖️ Benefits

• Annual discretionary professional development stipend • Annual discretionary stipend for meeting colleagues • Annual company offsite • Monthly co-working stipend for those not near a main hub • Remote-first work arrangement • Growth opportunities and career paths