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Staff Applied Data Scientist, Pricing
CoinbaseStaff Data Scientist at Coinbase responsible for pricing experimentation and strategy for Consumer & Business products. Collaborating with Product, Engineering, and Design teams to drive strategic pricing decisions.
Posted 7/25/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $207,485 - $244,100 per yearWebsite
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in pricing experimentation and statistical modeling, with a strong focus on data analysis and the development of pricing strategies. Proficient in leading cross-functional teams to deliver complex analytical projects and actionable insights.
Highest-signal resume keywords
Pricing ExperimentationStatistical ModelingSQL ProficiencyPython or R ProficiencyA/B Test Design
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data AnalysisCausal InferencePredictive ModelingData Pipeline DevelopmentPricing Model Development
Soft Skills
Clear CommunicationStakeholder CollaborationProblem Definition
Tools & Technologies
Generative AI
Certifications & Qualifications
PhD in EconomicsMaster's in Statistics
Industry Keywords
Pricing StrategyConsumer ProductsAnalytical ProjectsExecutive Presentation
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- 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
Requirements
What you’ll need- 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.
Benefits
Comp & perks- Medical
- Dental
- Vision
- 401(k)