Staff Applied Data Scientist, Pricing
- Role
- Data Science
- Experience
- Staff
- Company size
- Enterprise
Open to US only. Set where you work from to check your eligibility.
No BS summary
Staff-level data scientist for US-remote pricing work at Coinbase. Needs 8+ years in data science, 5+ years leading pricing/experimentation workstreams, and strong SQL plus Python or R for statistical modeling, pipelines, and analysis.
Core skills
Staff Applied Data Scientist, Pricing
Remote - USAJob ID#: P77715 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. As a Staff Data Scientist on the Data Science team within the Platform group, you'll own pricing experimentation and strategy for Coinbase's Consumer & Business products. This team partners directly with Product, Engineering, and Design to turn deep analytical expertise into decisions that move the company's bottom line. You'll design and analyze pricing tests, build models that identify optimal strategies, and communicate findings to executives and cross-functional leaders. What you'll do:
- Own end-to-end pricing experimentation, from test design through analysis and recommendation
- Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products
- Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities
- Develop and maintain data pipelines and data models that power pricing analytics with production-grade craftsmanship
- Synthesize complex findings into clear, actionable recommendations and present them to senior leadership
Required Skills and Experience:
- 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling (PhD preferred, or Master's in Economics, Statistics, or related quantitative field)
- 5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and building predictive models
- Proven proficiency in SQL and Python or R for statistical modeling, pipeline development, and data analysis
- Track record of independently scoping and delivering complex analytical projects spanning multiple teams, from problem definition through executive presentation
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
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): $207,485—$244,100 USD
Disclosures
- ** 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 thetutorial.
- **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.
Benefits for U.S. employees
- Medical Plan, Dental and Vision Plan with generous employee contributions
- Health Savings Account with company contributions each pay period
- Disability and Life Insurance
- 401(k) plan with company match
- Wellness Stipend
- Mobile/Internet Reimbursement
- Volunteer Time Off
- Fertility Counseling and Benefits
- Generous Time off/Leave Policy
- The option of getting paid in digital currency
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What you'll do
- Own end-to-end pricing experimentation, from test design through analysis and recommendation.
- Build and refine pricing models and evaluation frameworks that determine optimal pricing strategy across consumer products.
- Partner with Product, Engineering, and Finance stakeholders to develop pricing vision, roadmap, and priorities.
- Develop and maintain data pipelines and data models that power pricing analytics with production-grade craftsmanship.
- Synthesize complex findings into clear, actionable recommendations and present them to senior leadership.
What they require
- 8+ years of experience in data science with a focus on pricing experimentation, causal inference, and statistical modeling.
- PhD preferred, or Master's in Economics, Statistics, or related quantitative field.
- 5+ years directly leading pricing or experimentation workstreams, including designing A/B tests and building predictive models.
- Proven proficiency in SQL and Python or R for statistical modeling, pipeline development, and data analysis.
- Track record of independently scoping and delivering complex analytical projects spanning multiple teams, from problem definition through executive presentation.
- Candidates may submit a maximum of 3 applications within a 6-month period.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
Benefits
- Medical Plan.
- Dental and Vision Plan with generous employee contributions.
- Health Savings Account with company contributions each pay period.
- Disability and Life Insurance.
- 401(k) plan with company match.
- Wellness Stipend.
- Mobile/Internet Reimbursement.
- Volunteer Time Off.
- Fertility Counseling and Benefits.
- Generous Time off/Leave Policy.
- Option of getting paid in digital currency.
- Total compensation may include equity and bonus eligibility.
American company that operates a cryptocurrency exchange platform
What people say about this company
3.8/ 5
- Employees appreciate the innovative and fast-paced work environment.
- Many find growth opportunities and career advancement potential.
- Some employees report issues with management and communication.