Senior Data Scientist, Product
Coinbase is hiring a Senior Data Scientist, Product for a remote role open to applicants in United Kingdom. It pays £122k-£136k a year and Level rates it ; you can apply on Coinbase.
Level's read on this job
- Little AI ●○○○ is how Level rates this data scientist role: aI is not part of the work.
- The posting lists this role as remote.
- Tools and skills the posting cites include Gemini, SQL and Python.
- Level classifies it as a senior role.
- Level lists 226 other open roles at Coinbase.
AI in this role
Senior Data Scientist focused on product analytics, experimentation, and statistical modeling for Coinbase consumer products.
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 is an integral component of Coinbase’s product and decision making process: we work in partnership with Product, Engineering and Design to influence the roadmap and better understand our users. With a deep expertise in experimentation, analytics and advanced modeling, we produce insights which directly move the company’s bottom line.
As a Data Scientist in the consumer org, you'll apply these skills to improve the customer experience across Coinbase's consumer products—spot and advanced trading, yield, Coinbase One (CB1), international expansion, and new launches (including prediction markets and equities trading). You'll define and instrument key metrics, build measurement and causal frameworks, and translate insights into product strategy and shipped improvements.
What you'll be doing:
- Conduct analysis and deep dives on ambiguous problems for our business. Your work will result in insights and recommendations that guide the team’s decision making.
- Act as owner for a broad scope of data and metrics, from core logging to presentation of data visualizations.
- Guide code reviews, provide SQL and Python expertise, and create well-maintained ETL jobs.
- Maintain a high bar for statistical rigor on your team. Ensure that we’re conducting experimentation and causal analyses that build confidence with your stakeholders.
What we look for in you:
- A BA/BS in a quantitative field (ex Math, Stats, Physics, or Computer Science) with ≥5+ years of relevant experience or a PhD in a quantitative field with with ≥3+ years of relevant experience
- Demonstrated experience in driving impactful data science projects that tackle ambiguous problem spaces.
- Ability to influence external stakeholders by synthesizing data learnings into compelling stories.
- Practical expertise in applying complex modeling frameworks to practical business problems.
- Professional experience using SQL and Python.
- Experience working with digital products in an iterative development cycle.
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
- Demonstrates the ability to responsibly use generative AI tools and copilots (e.g., LibreChat, Gemini, Glean) in daily workflows, continuously learn as tools evolve, and apply human-in-the-loop practices to deliver business-ready outputs and drive measurable improvements in efficiency, cost, and quality.
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):£122,400—£136,000 GBP- 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, Product at Coinbase rates 10 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
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
- What's a project where you used Gemini hands-on?
- Walk me through how you've used SQL in your day-to-day work.
- What are the limits of Python that you've run into, and how did you work around them?
- What's a project where you used ETL hands-on?
Adapt your resume
- List these exact terms on your resume: Gemini, SQL, Python, and ETL. 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.
Want an expert to read your CV for this job?
Free. Send your CV and the role you want next. We reply by email within 2 to 4 business days.
Get new remote data scientist jobs by email
One email a week with the new remote data scientist jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Data roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step