Staff Data Scientist - Pricing Strategy & Experiments

Coinbase; Boston (MA); Hybrid; USD 207,485 - 244,100; Full time

Job summary

Coinbase is seeking a Staff Data Scientist in pricing to own end-to-end experimentation and pricing strategy for Consumer & Business products. You will partner with Product, Engineering, and Design to translate analysis into decisions shaping the company’s pricing roadmap.

Responsibilities include building pricing models, maintaining data pipelines, and presenting insights to executives. Requires 8+ years in data science, with leadership in pricing or experimentation, and strong SQL/Python or R

Qualifications

• 8+ years in data science focused on pricing experimentation and quantitative modeling.
• 5+ years leading pricing or experimentation workstreams including A/B design.
• Proficient in SQL and Python or R for modeling and analysis.
• Experience scoping and delivering multi-team analytic projects from problem to exec presentation.
• Responsible use of generative AI with human oversight to improve outcomes.

Responsibilities

• Own end-to-end pricing experimentation from design to results and recommendations.
• Build and refine pricing models and evaluation frameworks for consumer products.
• Collaborate with Product, Engineering, and Finance to define pricing vision and roadmap.
• Develop data pipelines and models powering pricing analytics with production-grade quality.
• Synthesize findings and present actionable recommendations to senior leadership.

Skills

Pricing experimentation

A/B testing

Causal inference

SQL

Python/R

Cross-functional leadership

Communication

Education

PhD preferred or Master's in Economics/Statistics

Tools

SQL

Python

R

Job description

Coinbase is seeking a Staff Data Scientist in pricing to own end-to-end experimentation and pricing strategy for Consumer & Business products. You will partner with Product, Engineering, and Design to translate analysis into decisions shaping the company’s pricing roadmap.

Responsibilities include building pricing models, maintaining data pipelines, and presenting insights to executives. Requires 8+ years in data science, with leadership in pricing or experimentation, and strong SQL/Python or R