Data Scientist - Product

ElevenLabs; City Of London; Remote; GBP 50,000 - 80,000; Full time

Job summary

A tech company is seeking a Data Scientist focused on product growth to drive insights that enhance activation and retention. The role involves partnering with product and engineering teams to analyze user engagement and define metrics. Expertise in SQL and Python is essential, with a strong understanding of product metrics. This is a remote-first position, allowing work from various locations including London.

Qualifications

• Expertise in product analytics with SQL and python skills.
• Strong product sense to derive actionable insights.
• Deep understanding of key product metrics like retention and LTV.
• Proven ability to design A/B tests ensuring statistical integrity.

Responsibilities

• Uncover insights to drive product growth and retention.
• Partner with product and engineering teams to understand user engagement.
• Define metrics to measure the health of the creator journey.

Skills

Product analytics expertise

SQL

Python

Understanding of product metrics (retention, activation, LTV)

A/B testing design and analysis

Experience with data pipelines and dashboards

Job description

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 - the suite powering millions of creators and marketers.

You’ll partner deeply with the product and engineering teams to understand how users engage, where they drop off, and which experiences create long-term value. You’ll define and instrument metrics that measure the health of the creator journey, identify growth levers, and help us prioritize features and experiments that expand engagement and monetization.

This is a hands‑on, high‑impact role for someone who blends data science rigor with product intuition - a builder who thrives in ambiguity and wants their analysis to directly shape the roadmap.

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 put yourself in the shoes of our users and 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, whether it's implementing your own telemetry, diving into the codebase to debug an issue with logging, or implementing new tools as our data stack evolves
• 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.

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