Staff Applied Data Scientist, Pricing

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.

As a Staff Data Scientist on the Data Science team within the Platform group, you'll own pricing experimentation and strategy for Coinbase's Consumer & Business products. This team partners directly with Product, Engineering, and Design to turn deep analytical expertise into decisions that move the company's bottom line. You'll design and analyze pricing tests, build models that identify optimal strategies, and communicate findings to executives and cross-functional leaders.

What you'll do:

• Own end-to-end pricing experimentation, from test design through analysis and recommendation
• Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products
• Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities
• Develop and maintain data pipelines and data models that power pricing analytics with production-grade craftsmanship
• Synthesize complex findings into clear, actionable recommendations and present them to senior leadership

Required Skills and Experience:

• 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling (PhD preferred, or Master's in Economics, Statistics, or related quantitative field)
• 5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and building predictive models
• Proven proficiency in SQL and Python or R for statistical modeling, pipeline development, and data analysis
• Track record of independently scoping and delivering complex analytical projects spanning multiple teams, from problem definition through exe