Senior Data Scientist, Product

Coinbase is a leading cryptocurrency exchange platform committed to expanding economic freedom through digital assets and blockchain technology. The company operates with a remote-first model, bringing teams together quarterly for intensive in-person collaboration sessions. Coinbase's Data Science team sits at the heart of product decisions, working alongside Product, Engineering, and Design to drive insights that directly impact business outcomes.

About Coinbase

Coinbase serves millions of users globally and has established itself as a trusted platform for trading, investing, and managing cryptocurrency. The company maintains high standards for execution and impact, creating an environment where teams push beyond conventional limits. As a remote-first organization, Coinbase combines the flexibility of distributed work with strategic in-person engagement, allowing data professionals to contribute meaningfully while maintaining work-life balance.

What you'll do

• Investigate complex, ambiguous business problems through rigorous analysis and deep-dive investigations that yield actionable insights and strategic recommendations for leadership

• Own responsibility for a comprehensive suite of data and metrics across the consumer product ecosystem, from instrumentation and logging to the design and delivery of data visualizations

• Provide technical leadership through code reviews, SQL and Python expertise, and the development of production-quality ETL pipelines that support organizational analytics infrastructure

• Establish and maintain statistical standards across your team, ensuring experimentation designs and causal analyses meet rigorous methodological requirements and build stakeholder confidence

• Collaborate with product and engineering teams to measure impact across consumer offerings including spot trading, yield products, Coinbase One membership, international expansion initiatives, and emerging products such as prediction markets and equities trading

What you'll bring

• A bachelor's degree in a quantitative discipline such as mathematics, statistics, physics, or computer science with five or more years of professional data science experience, or a doctoral degree in a quantitative field with at least three years of relevant work experience

• Demonstrated success leading data science projects in ambiguous environments where requirements evolve and problem statements require exploration

• Ability to translate complex analytical findings into compelling narratives that influence cross-functional stakeholders and drive informed decision making

• Practical experience applying advanced modeling techniques and statistical frameworks to real-world business challenges

• Professional proficiency with SQL and Python for data analysis and pipeline development

• Background working with consumer-facing digital products within iterative product development cycles

• Competence with generative AI tools and copilots in professional workflows, with the ability to apply human-in-the-loop practices to ensure outputs meet business quality standards

Nice to have

• Demonstrated alignment with core values including clear communication, positive energy, continuous learning, and efficient execution

What they offer

• Annual base salary range of £122,400 to £136,000 GBP, with additional total compensation including equity and bonus eligibility

• Health benefits including medical, dental, and vision coverage

• Remote-first work arrangement with quarterly in-person collaboration sessions