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 @ 4
Data Visualization
ETL
Experimentation
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 seeking a Senior Data Scientist to partner with Product, Engineering, and Design teams. Data Science supports product and business decision-making through experimentation, analytics, and advanced modeling. Coinbase is remote-first but not remote-only, with quarterly in-person working sessions called “surges.”
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 visualization presentation.
- Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
- Maintain a high standard of statistical rigor by designing, executing, and improving experimentation and causal analyses.
Requirements
- A 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 stakeholders by synthesizing data insights into compelling stories.
- Practical expertise applying complex modeling frameworks to business problems.
- Professional experience with 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.
Compensation
The annual base salary range is $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.
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. Applicants agree to Coinbase's Candidate Privacy Notice and, where applicable, arbitration of disputes.