Senior Data Scientist (Applied ML)

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.

As an Applied Scientist sitting within our Data Science organization, you will be responsible for building cutting edge models to navigate critical tradeoffs to drive business value. This is a generic job posting for roles that will stretch across a number of different areas in Growth, Customer Experience, and our Eng Infrastructure teams.

Responsibilities

• Provide technical mentorship to teams across our Data Science organization.
• Build models to quantify the impact of negative experiences on the Coinbase platform.
• Develop novel experimentation techniques to optimize incentive spend (e.g. multi armed bandits).
• Create sophisticated sequential features based on user behavior to proactively identify customer issues or counteract malicious activities on the platform.

Requirements

• PhD preferred, or a Master’s degree in a quantitative field such as Math, CS, or Statistics with 5+ years of relevant experience.
• Ability to design and execute complex data and modeling solutions that span multiple teams.
• Proven experience in developing and deploying ML models at scale, with a deep understanding of model lifecycle management.
• Advanced knowledge of the strengths and pitfalls of various causal inference techniques.
• A track record in raising and maintaining a high technical bar in a world-class data science organization.
• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.

Nice To Haves

• Experience working with Growth or Customer Experience teams.
• Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data.

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.