Product Data Scientist (London or New York)

TechChain Talent; Greater London; On-site; GBP 185,000 - 260,000; Full time

Job summary

A leading firm in Web3 is seeking an experienced Product Data Scientist to work on-site in London or New York. This role involves designing A/B tests, defining product metrics, and conducting analyses to shape product direction. The ideal candidate has over 5 years in data science, is skilled in SQL and Python, and excels in communication. We offer a competitive compensation package up to $350K, working in a dynamic environment with a small, impactful team.

Qualifications

• 5+ years in Data science, experimentation, or growth analytics.
• Expert in SQL and Python (or R).
• Proven track record running and interpreting A/B tests.
• Strong understanding of funnel metrics and cohort analysis.
• Excellent communication skills to transform data into insights.
• Excited about Web3 and building at speed.

Responsibilities

• Design and analyze A/B tests to guide feature development.
• Define key product metrics with Product and Engineering teams.
• Build and maintain dashboards and data pipelines.
• Conduct analyses into user and token behaviour.
• Help shape an experimentation framework driving smarter decisions.

Skills

Data science

Experimentation

Growth analytics

SQL

Python

A/B testing

Cohort analysis

Retention modelling

Communication

Storytelling

Job description

Product Data Scientist -On-site |London or New York | Up to $350k

We're looking for a Product Data Scientist to join a fast-moving team building one of the most data-driven products in Web3.

You'll work on-site with engineers, PMs, and designers to shape product direction through experimentation, behavioural analysis, and deep product insights. This isn't a back‑office analytics role; your work will directly influence how millions of users engage with a rapidly growing on‑chain platform.

What You'll Do

• Design and analyze A/B tests and product experiments to guide feature development and growth.
• Define key product metrics and success indicators with Product and Engineering teams.
• Build and maintain dashboards and data pipelines to monitor performance and retention.
• Conduct deep‑dive analyses into user and token behaviour to uncover growth opportunities.
• Help shape an internal experimentation and insights framework that drives faster iteration and smarter decisions.

What Were Looking For

• 5+ years in Data science, experimentation, or growth analytics.
• Expert in SQL and Python (or R).
• Proven track record running and interpreting A/B tests and causal inference studies.
• Strong understanding of funnel metrics, cohort analysis, and retention modelling.
• Excellent communication and storytelling able to turn complex data into actionable insights.
• Excited about Web3, experimentation, and building at speed.

Why This Role

• On-site only: London or New York we believe in collaboration, creativity, and fast feedback loops.
• Compensation up to $350K
• Work in a small, high-impact team shaping the data and experimentation strategy behind one of the fastest-growing platforms in Web3.

If you're a data scientist who thrives on experimentation, loves building from first principles, and wants your work to drive product decisions wed love to talk. For more information please email: [e-mail]