Senior Data Scientist, Product

Ready to do the most impactful work of your career?

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.” learn more about working at Coinbase.

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.

What you'll be doing:

• 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.

What we look for in you:

• 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 with ≥3+ years of relevant experience
• Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.