Coinbase is hiring a Staff Applied Data Scientist, Pricing in Data Science — Remote - USA. The overview below is synthesized from the employer posting on coinbase.com: factual requirements and scope are preserved, but prose is rewritten with editorial context. Verify details and apply via the employer link.
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom.
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.
What you'll do
Day-to-day scope for the Staff Applied Data Scientist, Pricing as described in the posting:
- 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 executive presentation
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
Annual base salary range (excluding equity and bonus):
$207,485—$244,100 USD
- 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: ViewEmployee Rights,Know Your Rights, andE-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 thetutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to ourCandidate Privacy Notice. US applicants: By submitting your application, you agree toArbitration of Disputes.
Build a standout application
For the Staff Applied Data Scientist, Pricing at Coinbase, reviewers look for concise evidence over buzzwords. Mirror the language of the posting sparingly, quantify support or delivery outcomes, and show how you handled ambiguity, time-zone collaboration and user empathy. Keep your resume to impact, keep your cover note to one page, and link to artifacts — tickets resolved, docs shipped, dashboards owned — that prove you can operate in a fast-moving Web3 team. Prepare to discuss a time you turned a confusing user report into a clear fix and how you measure quality in support and operations.
Web3 hiring values reliability: on-time follow-through, clear writing, and a track record of improving runbooks and tooling. Treat the application as a work sample. For interviews, be ready to walk through how you prioritize across time zones, handle a difficult user, and decide when to escalate versus resolve directly. Show how you document decisions so the next teammate benefits.
In a distributed Web3 org, trust builds through written clarity. Use the cover note to demonstrate it.