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 Coinbase (CB) Wallet team. CB Wallet is our solution that allows individuals to custody their own crypto in a censorship resistant way. As a Staff level Data Scientist on this team, you’ll be working closely with multiple squads that are collectively working towards improving Wallet’s growth. Sample projects include building out growth models, creating and mapping input metrics to various squads, devising experimentation frameworks to measure incrementality, and utilizing blockchain data to unlock new product opportunities

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

• Devise testing plan to better understand key product metrics and inform product strategy.
• Act as a strategic partner to functional teams: initiate and execute deep analyses and models to help prioritize opportunities and provide actionable recommendations.
• Build new analytics and machine learning models that improve both our insights and the product directly.
• Measure business performance, develop / refine core metrics and create reporting to understand and monitor them.
• 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): 

• BA / BS degree or equivalent practical experience. 8+ years relevant experience, or a PhD degree in related fields + 5 years. 
• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
• Understanding of statistical concepts and experience in applying them.
• Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.)
• Experience in data analyses using SQL.
• Experience in at least one programming language (preferably Python).
• Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams

Nice to haves:

• Previous experience working in crypto is a plus.
• Domain experience in product, marketing, growth, and/or other business analytics areas.

ID: G2462