Staff Applied Scientist, Coinbase

• PhD or Master’s degree in a quantitative field such as Economics, Statistics with 8+ years of distinguished industry experience
• Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and statistical modeling
• Deep theoretical and applied expertise in a wide range of quasi-experimental methods
• A track record of influencing business and product strategy through data-driven, causal insights, and a proven ability to translate complex technical concepts to non-technical stakeholders
• Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution

Desirable

• 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
• Develop and deploy robust causal inference models to quantify the holistic business impact of new product launches (e.g. PSM, Double ML)
• Act as a leader to establish standards for measurement for new product and feature launches
• Provide technical mentorship for other members of the data science organization
• Act as a thought partner for senior leadership to help guide our product development process