Coinbase is seeking an Applied Scientist to build cutting-edge models to navigate critical tradeoffs and drive business value, ultimately aiming to increase economic freedom in the world by updating the financial system with crypto and blockchain technology.
Requirements
- 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.
- Experience in the fintech or crypto industries.
- Specific experience working pricing models, marketing attribution, or customer LTV modeling.
- Familiarity with the unique opportunities and challenges of crypto businesses and blockchain data.
Responsibilities
- 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
Other
- PhD or Master’s degree in a quantitative field such as Economics, Statistics with 8+ years of distinguished industry experience
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
- In-person participation is required throughout the year.
- Team and company-wide offsites are held multiple times annually to foster collaboration, connection, and alignment. Attendance is expected and fully supported.
