Senior Data Scientist
CoinbaseRole Description & Requirements
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 sits at the heart of how Coinbase builds products and makes decisions. We partner with Product, Engineering, and Design to shape roadmaps, understand our users, and move the company's bottom line through rigorous experimentation, analytics, and advanced modeling.
As a Data Scientist on the Consumer team, you'll improve the customer experience across Coinbase's consumer products — including spot and advanced trading, yield, Coinbase One, international expansion, and new launches such as prediction markets and equities trading. You'll define key metrics, build measurement and causal frameworks, and translate insights directly into product strategy and shipped improvements.
What you'll do:
- Drive analysis and deep dives on ambiguous business problems, delivering insights and recommendations that guide team decision-making
- Own a broad scope of data and metrics — from core logging to polished data visualizations
- Lead code reviews, contribute SQL and Python expertise, and maintain reliable ETL pipelines
- Uphold a high bar for statistical rigor, ensuring experimentation and causal analyses build genuine confidence with stakeholders
Required Skills and Experience:
- BA/BS in a quantitative field (Math, Stats, Physics, CS, or similar) with 5+ years of relevant experience, or a PhD with 3+ years of relevant experience
- Proven track record of delivering impactful data science work in ambiguous problem spaces
- Ability to synthesize complex data into compelling narratives that influence stakeholders
- Practical expertise applying advanced modeling frameworks to real business problems
- Professional proficiency in SQL and Python
- Experience working with digital products in an iterative development cycle
- Embodies our core values: clear communication, positive energy, continuous learning, and efficient execution
- Comfort using generative AI tools (e.g., LibreChat, Gemini, Glean) responsibly in daily workflows — applying human-in-the-loop practices to drive measurable gains in quality and efficiency
Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations\[at\]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
Ready to submit your application?
You will be redirected directly to Coinbase's official greenhouse page.