高级数据科学家，客户体验分析
Senior Data Scientist, CX Analytics
准备好开展职业生涯中最有影响力的工作了吗？在Coinbase，我们对增加经济自由的使命毫不妥协。标准很高，环境紧张，我们喜欢这样。这里不是安于现状的地方，而是让你突破自我认知极限的地方。如果你准备与那些不愿接受“足够好”的人一起打造金融的未来，你就在正确的地方。Coinbase是一家以远程办公为主，但并非完全远程的公司。你将每季度参加一次高强度的线下工作会，称为“冲刺”（surges）。了解更多关于在Coinbase工作的信息。
作为CX消费者分析团队的高级数据科学家，你将成为CX运营与顶层财务影响之间的基础纽带，负责收入校准模型、实验框架和行为智能，这些将每一次客户支持互动与Coinbase的资产积累飞轮联系起来。你将与CX分析工程师、项目经理和产品团队紧密合作，将复杂的运营和行为数据转化为可辩护、适合高管阅读的洞察，从而推动留存率、产品采用率和自动化质量的显著提升。
你将负责：
- 负责并持续改进CX的支持下游影响（DSI）收入校准模型，将支持交互数据转化为量化的收入信号。
- 设计并执行因果推断框架和实验，衡量CX项目（如管家服务、主动外联、自动化干预）对客户留存和产品参与度的增量影响。
- 构建并维护由大语言模型（LLM）驱动的分类流程，用于CX接触分类、客户摩擦检测和问题归因，与分析工程师合作将模型部署到CX的受控真相源基础设施中。
- 与CX项目经理和产品团队合作，定义分群模型和行为信号，以实现个性化体验并改善业务成果。
- 在CX的分析职能中保持高标准的统计严谨性，确保实验、因果分析和模型输出符合高管报告和监管可辩护性的要求。
所需技能和经验：
- 量化领域（如统计学、数学、计算机科学、经济学）的学士/硕士学位，5年以上相关经验，或量化领域的博士学位，3年以上相关经验。
- 展示出在统计建模、机器学习或数据科学方面的实际经验，能够处理大规模数据集并从中提取见解。
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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 and driving data science projects through ambiguous problem spaces in a consumer-facing or operational analytics context.
- Practical expertise applying statistical concepts including A/B testing, causal inference, and ML to real-world business problems, with a high bar for production-grade accuracy and evaluation rigor.
- Experience designing and deploying LLM-based classification or NLP pipelines for operational or customer-facing use cases.
- Ability to influence cross-functional stakeholders by synthesizing complex model outputs into clear, actionable narratives for executive and product audiences.
- 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)).
Annual base salary range (excluding equity and bonus):
$180,370—$212,000 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.