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 @ 4
GenAI
Generative AI @ 6
Mathematics @ 6
Python @ 6
SQL @ 6
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 sits at the heart of how Coinbase builds products and makes decisions. The team partners with Product, Engineering, and Design to shape roadmaps, understand users, and improve the company's bottom line through experimentation, analytics, and advanced modeling.
As a Data Scientist on the Consumer team, you will improve the customer experience across Coinbase's consumer products, including spot and advanced trading, yield, Coinbase One, international expansion, prediction markets, and equities trading. You will define key metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.
Responsibilities
- Drive analysis and deep dives on ambiguous business problems, delivering insights and recommendations that guide team decision-making.
- Own a broad scope of data and metrics, from core logging to polished data visualizations.
- Lead code reviews, contribute SQL and Python expertise, and maintain reliable ETL pipelines.
- Uphold a high bar for statistical rigor, ensuring experimentation and causal analyses build genuine confidence with stakeholders.
Requirements
- BA/BS in a quantitative field such as Mathematics, Statistics, Physics, Computer Science, or a similar discipline, with 5+ years of relevant experience; or a PhD with 3+ years of relevant experience.
- Proven track record of delivering impactful data science work in ambiguous problem spaces.
- Ability to synthesize complex data into compelling narratives that influence stakeholders.
- Practical expertise applying advanced modeling frameworks to real business problems.
- Professional proficiency in SQL and Python.
- Experience working with digital products in an iterative development cycle.
- Clear communication, positive energy, continuous learning, and efficient execution.
- Comfort using generative AI tools such as LibreChat, Gemini, and Glean responsibly in daily workflows, applying human-in-the-loop practices to improve quality and efficiency.
Compensation
The annual base salary range, excluding equity and bonus, is SGD 181,545–191,100. Total compensation may also include equity, bonus eligibility, and medical, dental, and vision benefits.
Candidates may submit a maximum of three applications within a six-month period.