Staff Data Scientist Pricing Experimentation

Data Science is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.

Specifically, we’re looking for a Staff Data Scientist to join our Retail Trading Team. In this role, you’ll take charge of pricing experimentation and play a pivotal role in determining our pricing strategy: you’ll spearhead testing design and analysis, find opportunities to improve engagement and our bottom line, and communicate your ideas to execs and leaders across the company

What you’ll be doing (ie. job duties):

• Act as a strategic partner and collaborate with cross-functional stakeholders to develop pricing experiment hypotheses
• Design and implement multiple pricing experiments simultaneously and evaluate results to determine the optimal pricing strategy
• Explore advanced experiment techniques such as small sample enhancements, Bayesian approaches and apply them successfully for complex experiments
• Develop frameworks to facilitate decision-making around metric trade-offs, particularly when they involve multiple organizations
• Aggregate learnings to inform the pricing framework, principles, and future decisions
• Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives
• Initiate, develop, and maintain data pipelines and data models with outstanding craftsmanship

What we look for in you (ie. job requirements):

• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
• PhD in Statistics, Economics or a related field
• Minimum 5 years of experience in pricing experimentation, data analysis and statistical modeling
• Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling
• Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams
• Excellent communication and presentation skills with the ability to explain complex data and analysis to non-technical stakeholders.
• Strong attention to detail and ability to work under tight deadlines

Nice to haves:

• Experience applying causal inference techniques outside of controlled experiments
• Experience applying causal inference techniques outside of controlled experiments

Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range from $201,450 to $237,000 + target bonus + target equity + benefits (including medical, dental, vision and 401(k)).

ID: P51651