Staff Applied Data Scientist, Pricing

Overview

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.

About the role

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.

Responsibilities

• 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

• 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

Qualifications

• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Skills

• Strong analytical and problem-solving skills
• Experience with machine learning and statistical modeling
• Excellent communication and collaboration skills

Benefits

• Remote-first, but not remote-only company
• Quarterly in-person working sessions called “surges”

Pay

Annual base salary range (excluding equity and bonus): $207,485 USD - $244,100 USD

Schedule

Flexible work schedule with occasional in-person meetings