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 Senior Data Scientist on the CX Consumer Analytics team, you will serve as the foundational link between CX operations and top-line financial impact, owning the revenue calibration models, experimentation frameworks, and behavioral intelligence that connect every customer support interaction to Coinbase's asset accumulation flywheel. You will partner closely with CX Analytics Engineers, Program Managers, and Product teams to translate complex operational and behavioral data into defensible, executive-ready insights that drive measurable improvements in retention, product adoption, and automation quality.
What you'll do:
- Own and evolve CX's Downstream Impact of Support (DSI) revenue calibration models, translating support interaction data into quantified revenue signals.
- Design and execute causal inference frameworks and experiments to measure the incremental impact of CX programs (Concierge, Proactive Outreach, automation interventions) on customer retention and product engagement.
- Build and maintain LLM-powered classification pipelines for CX contact taxonomy, customer friction detection, and issue attribution, partnering with Analytics Engineers to productionize models into CX's governed Source of Truth infrastructure.
- Partner with CX Program Managers and Product teams to define segmentation models and behavioral signals that enable personalized experiences and improve business outcomes.
- Maintain a high bar for statistical rigor across CX's analytics function, ensuring experimentation, causal analyses, and model outputs meet the standards required for executive reporting and regulatory defensibility.
Required Skills and Experience:
- A BA/BS in a quantitative field (e.g., Statistics, Mathematics, Computer Science, Economics) with 5+ years of relevant experience, or a PhD in a quantitative field with 3+ years of relevant experience.
- Demonstrated experience building revenue attribution or causal impact models in a consumer-facing or operational analytics context.
- Practical expertise applying statistical concepts including A/B testing, causal inference, and ML to ambiguous, real-world business problems.
- Experience designing and deploying LLM-based classification or NLP pipelines with a focus on production-grade accuracy and evaluation rigor.
- Ability to influence cross-functional stakeholders by synthesizing complex model outputs into clear, actionable narratives for executive and product audiences.
- Demonstrated experience driving impactful data science projects that tackle ambiguous problem spaces with limited prior art.
- Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
- 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: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)).
- Application Limit: Candidates may submit a maximum of 4 applications per 30-day 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.
- AI Disclosure: Coinbase is piloting an AI tool based on machine learning technologies to conduct initial screening interviews to qualified applicants. The tool simulates realistic interview scenarios and engages in dynamic conversation. Coinbase is also piloting an AI interview intelligence platform to transcribe and summarize interview notes, allowing our interviewers to fully focus on you as the candidate. Coinbase will not use AI to make decisions impacting employment.
Skills Required
- BA/BS in a quantitative field with 5+ years experience, or PhD with 3+ years experience.
- Experience building revenue attribution or causal impact models in consumer-facing or operational analytics contexts.
- Practical expertise in A/B testing, causal inference, and applying ML to ambiguous business problems.
- Experience designing and deploying LLM-based classification or NLP pipelines with production-grade accuracy and evaluation rigor.
- Experience productionizing models into governed analytics infrastructure (Source of Truth) with Analytics Engineers.
- Ability to influence cross-functional stakeholders and synthesize complex model outputs into clear, actionable executive narratives.
- Demonstrated experience delivering impactful data science projects in ambiguous problem spaces with limited prior art.
- Responsible use of generative AI, maintaining human oversight and human-in-the-loop practices to deliver business-ready outputs.
- Familiarity using generative AI tools/coplilots (examples: LibreChat, Gemini, Glean) in daily workflows.
What the Team is Saying
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Coinbase Compensation & Benefits Highlights
How does Coinbase ensure its pay and bonus plans are competitive?
Coinbase uses a market-driven, pay-for-performance approach to keep pay and bonus plans competitive. Coinbase regularly benchmarks roles against leading technology and fintech companies using external market data and reviews its compensation programs on a recurring basis to ensure salary, bonus, and equity remain aligned with the broader market and business goals. Annual bonus and equity programs are tied to both company results and individual impact, so when Coinbase and its people perform, total rewards reflect that performance.
Coinbase Insights
What We Do
Crypto creates economic freedom by ensuring that people can participate fairly in the economy, and Coinbase (NASDAQ: COIN) is on a mission to increase economic freedom for more than 1 billion people. We’re updating the century-old financial system by providing a trusted platform that makes it easy for people and institutions to engage with crypto assets, including trading, staking, safekeeping, spending, and fast, free global transfers. We also provide critical infrastructure for onchain activity and support builders who share our vision that onchain is the new online. And together with the crypto community, we advocate for responsible rules to make the benefits of crypto available around the world.
Why Work With Us
We have the opportunity to accelerate the pace of innovation in the world by building an open financial system. Our vision is to create more economic freedom in the world, to help people control their own wealth, start companies, have financial privacy, and participate in the global economy. And to get us there, we focus, build and move as a team.
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Employees work remotely.
Coinbase is remote-first, which enables us to innovate, build and move quickly. Our teams are able to work effectively from around the globe with time for in-person offsites and team meetups to enhance collaboration and connection.
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