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Tech Stack
Tools & technologiesETLPythonSQL
About the role
Key responsibilities & impact- Conduct analysis and deep dives on ambiguous business problems
- Produce insights and recommendations that guide team decision-making
- Build, tune, or measure online and offline machine learning models and AI systems used across Coinbase
- Own a broad scope of data and metrics, including definitions, core logging, and data visualization presentation
- Guide code reviews and provide SQL and Python expertise
- Create well-maintained ETL jobs
- Maintain statistical rigor across the team
- Design, execute, and improve experimentation and causal analyses
- Partner with Product, Engineering, and Design to influence the roadmap and understand users
Requirements
What you’ll need- BA/BS in a quantitative field (e.g., Math, Statistics, Physics, or Computer Science) with ≥5+ years of relevant experience, or a PhD in a quantitative field with ≥3+ years of relevant experience
- Demonstrated experience driving impactful data science projects addressing ambiguous problem spaces
- Ability to influence external stakeholders by synthesizing data learnings into compelling stories
- Practical expertise applying complex modeling frameworks to practical business problems
- Professional experience using SQL and Python
- Experience working with digital products in an iterative development cycle
- Clear communication, positive energy, continuous learning, and efficient execution
- Responsible use of generative AI with human oversight to deliver business-ready analytical outputs and models
Benefits
Comp & perks- Equity eligibility
- Bonus eligibility
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k)
- Quarterly in-person working sessions (“surges”)
- Reasonable accommodations for individuals with disabilities
- Free compatible screen reader for applicants needing screen reading technology
