Level

Coinbase

Senior Data Scientist, Product

Coinbase is hiring a Senior Data Scientist, Product for a remote role open to applicants in United States. It pays $180k-$212k a year and Level rates it ; you can apply on Level.

AI in this role

Build, tune, and measure online and offline machine learning models and AI systems while driving product insights.

pythonsql
machine-learningexperimentationdata-sciencestatistical-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 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.

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.
  • Build, tune, or measure the performance of online and offline ML models and AI systems used across Coinbase.
  • Act as owner for a broad scope of data and metrics, from definitions and 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. Design, execute, and uplevel  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.
  • Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready analytical outputs and models.

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). 

 

Annual base salary range (excluding equity and bonus):$180,370—$212,200 USD
  • 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 85 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.

Classification

Builds AI. The job is building AI systems.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Machine learningExperimentationData ScienceStatistical ModelingPythonSQL

Also common in data scientist jobs at this level

Pay

This job starts at
$180k
Typical data scientist job
$170k

This posting starts 6% above the typical data scientist job. See data scientist jobs

Questions you could be asked

  1. Tell me about a project where machine learning was part of your work. What did you do?
  2. Tell me about a project where experimentation was part of your work. What did you do?
  3. Tell me about a project where data science was part of your work. What did you do?
  4. Tell me about a project where statistical modeling was part of your work. What did you do?
  5. Walk me through how you've used Python in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Machine learning, Experimentation, Data Science, Statistical Modeling, and Python. 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.
  • Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.

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