Product Data Scientist (London or New York)

TechChain Talent
City of London
2 months ago
Applications closed

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Product Data Scientist

Product Data Scientist

Product Data Scientist: Shape Product Strategy with Data

Product Data Scientist (Remote)

Data Scientist

Data Scientist

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 experimentaion, 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 We're 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 actually drive product decisions we’d love to talk.


For more information please email:


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