Perform analyses on products to answer open-ended questions and provide strategic recommendations.
Design and guide experiments/analysis to measure impact and drive product improvements, including novel experiment types and methodologies related to logged out users.
Develop and maintain key metrics and reports, enhancing data infrastructure for better analysis.
Modeling in order to differentiate and isolate good actors vs. bad actors at Coinbase.
Requirements
At least a BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥2+ years of relevant experience.
Experience driving impact for a digital product with an iterative development cycle.
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 our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.
Tech Stack
Python
SQL
Benefits
Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, vision and 401(k)).