Staff Data Scientist
Remote - USA
Ready to be pushed beyond what you think you’re capable of?
At Coinbase, our mission is to increase economic freedom in the world. It’s a massive, ambitious opportunity that demands the best of us, every day, as we build the emerging onchain platform — and with it, the future global financial system.
To achieve our mission, we’re seeking a very specific candidate. We want someone who is passionate about our mission and who believes in the power of crypto and blockchain technology to update the financial system. We want someone who is eager to leave their mark on the world, who relishes the pressure and privilege of working with high caliber colleagues, and who actively seeks feedback to keep leveling up. We want someone who will run towards, not away from, solving the company’s hardest problems.
Our work culture is intense and isn’t for everyone. But if you want to build the future alongside others who excel in their disciplines and expect the same from you, there’s no better place to be.
Team/ Role Paragraph:
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.
We’re looking for a Staff Data Scientist to join our Coinbase (CB) Wallet team. CB Wallet is our solution that allows individuals to custody their own crypto in a censorship resistant way. As a Staff Data Scientist, you’ll be working closely with multiple teams that are collectively working towards improving Wallet’s growth. Sample projects include building out growth models, creating and mapping input metrics to various teams, devising experimentation frameworks to measure incrementality, and utilizing blockchain data to unlock new product opportunities.
What you’ll be doing (ie. job duties):
- Devise testing plan to better understand key product metrics and inform product strategy.
- Act as a strategic partner to functional teams: initiate and execute deep analyses and models to help prioritize opportunities and provide actionable recommendations.
- Build new analytics and machine learning models that improve both our insights and the product directly.
- Measure business performance, develop / refine core metrics and create reporting to understand and monitor them.
- Synthesize data learnings into compelling stories and communicate them throughout Coinbase and to senior executives.
- Initiate, develop,and maintain data pipelines and data models with outstanding craftsmanship.
What we look for in you (ie. job requirements):
- BA / BS degree or equivalent practical experience. 8+ years relevant experience, or a PhD degree in related fields + 5 years.
- Demonstration of our core cultural values: clear communication, positive energy, continuous learning, and efficient execution.
- Understanding of statistical concepts and experience in applying them.
- Related, understanding of experimentation best practices and concepts (e.g., incrementality, cannibalization, etc.)
- Experience in data analyses using SQL.
- Experience in at least one programming language (preferably Python).
- Ability to independently create plans for analytics projects and a track record of overseeing large / complex analytical projects spanning multiple teams.
Nice to haves:
- Previous experience working in crypto is a plus.
- Domain experience in product, marketing, growth, and/or other business analytics areas.
ID: G2462
Pay Transparency Notice: Depending on your work location, the target annual salary for this position can range as detailed below. Full time offers from Coinbase also include target bonus + target equity + benefits (including medical, dental, vision and 401(k)).Pay Range: $201,450—$237,000 USDCommitment to Equal Opportunity
Coinbase is committed to diversity in its workforce and is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, sex, gender expression or identity, sexual orientation or any other basis protected by applicable law. Coinbase will also consider for employment qualified applicants with criminal histories in a manner consistent with applicable federal, state and local law. For US applicants, you may view the Know Your Rights notice here. Additionally, Coinbase participates in the E-Verify program in certain locations, as required by law.
Coinbase is also committed to providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please contact us at accommodations[at]coinbase.com to let us know the nature of your request and your contact information. For quick access to screen reading technology compatible with this site click here to download a free compatible screen reader (free step by step tutorial can be found here).
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Job Profile
Remote - USA
Benefits/PerksContinuous learning Dental Medical Remote-first company Target bonus Target equity Vision
Tasks- Act as strategic partner
- Build
- Build analytics models
- Devise testing plans
- Improve
- Increase economic freedom
- Maintain data pipelines
- Measure business performance
- Reporting
- Synthesize data learnings
Advanced Modeling Analytical Analytics Best Practices Blockchain Blockchain Technology Business Analytics Cannibalization Communication Continuous Learning Crypto Custody Data Models Data Pipelines Data privacy Data Protection Data Science Design Diversity Engineering Excel Experimentation Feedback Frameworks GDPR Growth models Incrementality Machine Learning Marketing Metrics Modeling Performance Privacy Product Product Strategy Programming Python Reporting SQL Statistical Concepts Strategy Technology Testing
Experience8 years
EducationB.A. B.S. Business Business Analytics Engineering Equivalent practical experience Machine Learning Ph.D.
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9