Data Scientist Ii

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.

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.

Responsibilities

• Act as a strategic partner to functional teams: initiate and execute deep analyses and models to prioritize opportunities and provide actionable recommendations.
• Design and guide experiments/analysis to measure impact and drive product improvements.
• 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.
• Conduct deep dives to help solve complex problems to drive impact for our business.
• Initiate, develop, and maintain data pipelines with outstanding craftsmanship.

Requirements

• BA / BS degree in a quantitative field (ex Math, Stats, Physics, or Computer Science) with 5+ years relevant experience, or PhD degree in a related field with 2+ years of relevant experience.
• Ability to independently create plans for projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
• Understanding of statistical concepts and practical experience applying them (in A/B testing, causal inference, ML, etc.).
• Experience in data analyses using SQL.
• Experience in programming/modeling in Python.
• Demonstration of core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice to Haves

• Data engineering skills plus a willingness to do lower level work to improve data foundations as needed.

Benefits

• Extended Health Care Benefit (coordinates with Provincial Coverage)
• Dental Care
• Vision Care
• Consult+ (Virtual Health Care)
• Life & Accident Insurance
• Disability Coverage
• Employee Stock Purchase Plan (ESPP)
• Wellness Stipend
• Mobile/Internet Reimbursement
• Connections Stipend
• Learning and Development Allowance
• Employee Assistance Program
• Travel Medical Policy - Global Traveler
• Fertility Benefits
• Generous Time off/Leave Policy