Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
AI @ 6
Communication @ 6
Data Science @ 6
ETL
Experimentation @ 6
GenAI
Generative AI @ 6
Machine Learning
Mathematics @ 6
Python @ 4
SQL @ 4
Statistics @ 6
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Coinbase is a remote-first, but not remote-only company. Employees are expected to meet quarterly for in-person working sessions called “surges.” Data Science partners with Product, Engineering, and Design to influence the roadmap and better understand users through experimentation, analytics, and advanced modeling.
Responsibilities
- Conduct analysis and deep dives on ambiguous business problems, producing insights and recommendations that guide decision-making.
- Build, tune, and measure the performance of 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 visualizations.
- Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
- Maintain a high standard of statistical rigor.
- Design, execute, and improve experimentation and causal analyses that build stakeholder confidence.
Requirements
- Bachelor’s degree in a quantitative field such as Mathematics, Statistics, Physics, or Computer Science, with at least 5 years of relevant experience; or a PhD in a quantitative field with at least 3 years of relevant experience.
- Demonstrated experience driving impactful data science projects involving ambiguous problem spaces.
- Ability to influence external stakeholders by synthesizing data insights into compelling stories.
- Practical expertise applying complex modeling frameworks to 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, maintaining human oversight to deliver business-ready analytical outputs and models.
Compensation
- Annual base salary: $180,370–$212,200 USD, excluding equity and bonus.
- Total compensation may also include equity, bonus eligibility, and medical, dental, vision, and 401(k) benefits.
Additional Information
- Candidates may submit a maximum of three applications within a six-month period.
- Coinbase is an equal opportunity employer.
- Reasonable accommodations are available for applicants with disabilities.
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