Overview
Own pricing experimentation and strategy for Coinbase's Consumer & Business products, partnering with Product, Engineering, and Design to turn analytical expertise into decisions that move the company's bottom line.
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
What you'll need
- 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling
- PhD 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
Details
- Remote-first, but not remote-only; expect to get together quarterly for in-person working sessions called "surges"
- Annual base salary range (excluding equity and bonus): $207,485 — $244,100 USD
- Total compensation may also include equity, bonus eligibility, and benefits (medical, dental, vision, 401(k))
- Candidates may submit a maximum of 3 applications within a 6-month period
Read the full description and apply on the company’s own careers page.