Staff Data Scientist

Details

Ready to be pushed beyond what you think you’re capable of?

At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.

To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.

Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.

Team/ Role Paragraph:

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.

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 Data Scientist, you’ll be working closely with multiple teams that are collectively working towards improving Wallet’s growth. Sample projects include building out growth models, creating and mapping input metrics to various teams, devising experimentation frameworks to measure incrementality, and utilizing blockchain data to unlock new product opportunities.

Responsibilities

• 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.

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.

Benefits

• Medical Plan, Dental and Vision Plan with generous employee contributions
• Health Savings Account with company contributions each pay period
• Disability and Life Insurance
• 401(k) plan with company match
• Wellness Stipend
• Mobile/Internet Reimbursement
• Connections Stipend
• Volunteer Time Off
• Fertility Counseling and Benefits
• Generous Time off/Leave Policy
• The option of getting paid in digital currency

Disclaimer: Applying for a specific role does not guarantee consideration for that exact position. Leveling and team matching are assessed throughout the interview process.