Data Scientist – Product Analytics

ElevenLabs

. Own analysis of how users discover, adopt, and retain ElevenLabs products .

Posted 10/5/2026full-timeRemote • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in product analytics, A/B testing, and SQL/Python programming to drive user engagement and retention metrics. Collaborates effectively with product and growth teams to translate complex questions into actionable insights.

Highest-signal resume keywords

Data Science ExperienceStrong SQL SkillsStrong Python SkillsA/B Testing ExperienceProduct Analytics

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisProduct Health MetricsActivation ModellingRetention ModellingLifecycle Analytics

Soft Skills

Structured ThinkingCommunication SkillsStakeholder Management

Tools & Technologies

DbtAI ToolsModern Data Warehouse

Industry Keywords

Product-Led CompanyUser EngagementFeature AdoptionOnboarding Changes

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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