Senior Data Scientist
Coinbase is hiring a Senior Data Scientist for a remote role open to applicants in Singapore. It pays SGD 182k-SGD 191k a year and Level rates it ; you can apply on Coinbase.
Level's read on this job
- Level rates this data scientist role Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions Gemini, Python and SQL among its tools and skills.
- Level classes it as a senior role.
- Coinbase has 226 other open roles on Level.
AI in this role
Drive product strategy and user insights using advanced data science methods, experimentation, and statistical modeling.
Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.
Data Science sits at the heart of how Coinbase builds products and makes decisions. We partner with Product, Engineering, and Design to shape roadmaps, understand our users, and move the company's bottom line through rigorous experimentation, analytics, and advanced modeling.
As a Data Scientist on the Consumer team, you'll improve the customer experience across Coinbase's consumer products — including spot and advanced trading, yield, Coinbase One, international expansion, and new launches such as prediction markets and equities trading. You'll define key metrics, build measurement and causal frameworks, and translate insights directly into product strategy and shipped improvements.
What you'll do:
- 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
Required Skills and Experience:
- BA/BS in a quantitative field (Math, Stats, Physics, CS, or similar) 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
- Embodies our core values: clear communication, positive energy, continuous learning, and efficient execution
- Comfort using generative AI tools (e.g., LibreChat, Gemini, Glean) responsibly in daily workflows — applying human-in-the-loop practices to drive measurable gains in quality and efficiency
Pay Transparency Notice: The target annual base salary for this position can range as detailed below. Total compensation may also include equity and bonus eligibility and benefits (including medical, dental, and vision).
Annual base salary range (excluding equity and bonus):$181,545—$191,100 SGD- Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
- Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
- US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
- Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
- Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
How we rate this
Senior Data Scientist at Coinbase rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in data scientist jobs at this level
Pay
- Typical data scientist job
- $166k
Use the typical data scientist figure as a reference when pay comes up. See data scientist jobs
Questions you could be asked
- Tell me about a project where data science was part of your work. What did you do?
- Tell me about a project where statistical modeling was part of your work. What did you do?
- Tell me about a project where causal inference was part of your work. What did you do?
- Tell me about a project where machine learning was part of your work. What did you do?
- Walk me through how you've used Gemini in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Science, Statistical Modeling, Causal Inference, Machine learning, and Gemini. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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