Senior Data Scientist, Product

Unchain Data

United Kingdom

Remote

GBP 122,000 - 136,000

Full time

14 days+
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Benefits offered by this job

Medical insurance
Dental insurance
Vision insurance
Equity
Bonus eligibility

Job summary

Coinbase is seeking a Data Scientist for the consumer org to apply analytics, experimentation and advanced modeling to understand users and improve the customer experience across Coinbase's consumer products, including spot and advanced trading, yield, and new launches.

You will collaborate with Product, Engineering and Design to define metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.

Qualifications

  • BA/BS in a quantitative field (Math, Stats, Physics, or CS) with 5+ years of relevant experience or a PhD with 3+ years of relevant experience.
  • Experience driving impactful data science projects that tackle ambiguous problem spaces.
  • Ability to influence external stakeholders by turning data learnings into compelling stories.
  • Practical expertise applying complex modeling frameworks to real business problems.

Responsibilities

  • Conduct analyses and deep dives on ambiguous problems to generate actionable insights for decision making.
  • Own data and metrics, from core logging to data visualizations.
  • Guide code reviews, provide SQL and Python expertise, and create ETL jobs.
  • Maintain a high bar for statistical rigor with experimentation and causal analyses.

Skills

Data science projects
Stakeholder storytelling
Modeling frameworks
SQL
Python
Digital products
Clear communication
Positive energy
Continuous learning
Efficient execution
AI copilots usage

Education

BA/BS in quantitative field
PhD in quantitative field

Job description

About Us

At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it's a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called "surges."

The Role

Data Science is an integral component of Coinbase's product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company's bottom line.

As a Data Scientist in the consumer org, you'll apply these skills to improve the customer experience across Coinbase's consumer products—spot and advanced trading, yield, Coinbase One (CB1), international expansion, and new launches (including prediction markets and equities trading). You'll define and instrument key metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.

Responsibilities
  • Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team's decision making.
  • Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
  • Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
  • Maintain a high bar for statistical rigor on your team. Ensure that we're conducting experimentation and causal analyses that build confidence with your stakeholders.
Requirements
  • A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with ≥3+ years of relevant experience
  • Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
  • Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
  • Practical expertise in applying complex modeling frameworks to practical business problems.
  • Professional experience using SQL and Python.
  • Experience working with digital products in an iterative development cycle.
  • Demonstration of core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
  • Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.
Compensation

The target annual base salary for this position is £122,400 — £136,000 GBP (excluding equity and bonus). Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).

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