高级分析工程师,GFCO Analytics
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Senior Analytics Engineer, GFCO AnalyticsCoinbase · Remote - USA · From 401
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职位描述
机器翻译准备好在你的职业生涯中做出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,环境很紧张,而我们喜欢这样。这里不适合自满的人,而是一个让你被推过自认为极限的地方。如果你准备好与那些拒绝满足于"足够好"的人一起构建金融的未来,这里就是你的归属。Coinbase 是一家远程优先、但并非仅限远程的公司。预计每季度会聚在一起进行名为"surges"的高强度线下工作会议。了解更多关于在 Coinbase 工作的信息。
作为客户体验组织内 GFCO 分析工程团队的高级分析工程师,你将构建为 Coinbase 客户体验和合规运营提供支持的数据基础和分析模型。该团队开发可信指标、可扩展管道和因果测量框架,使 CX 利益相关者能够更快、更好地做出决策。你将负责端到端数据模型、设计实验,并将机器学习应用于直接影响我们如何服务和保护数百万客户的问题。
岗位职责
• 负责生产数据管道、维度模型和 ML 驱动的分析产品(包括基于 LLM 的联系人分类、摩擦检测和问题归因)的设计、构建和维护,服务于 CX 和合规用例。
• 推动在 Looker、Hex 或 Python 可视化库中开发自助式仪表板和 AI 辅助分析工具,缩短 CX 利益相关者和运营团队获得洞察的时间。
• 设计和执行因果推断框架和准实验(A/B 测试、留出框架、双重差分分析),以衡量 CX 项目对客户留存和产品参与度的增量影响。
• 与跨职能利益相关者合作,将业务需求转化为可扩展的数据解决方案,管理长期分析路线图,在战术交付与战略投资之间取得平衡。
• 使用高级统计方法(贝叶斯推理、时间序列分析、倾向得分匹配)领导对关键绩效指标的深入调查,以识别可操作的机会,改善客户成果、运营效率和合规状况。
• 塑造分析工程标准、文档实践和测试框架,使更广泛的团队能够以更高的数据质量和统计严谨性更快地推进工作。
所需技能和经验:
• 5 年以上分析工程、数据科学或数据工程经验,亲手负责生产数据管道、维度数据模型(星型/雪花模式)以及 dbt、Airflow、Snowflake 或类似工具中的统计或 ML 模型。
• 高级 SQL 和 Python 能力,应用于数据模型开发、管道编排、因果推断、统计分析和 ML 模型部署——不仅限于脚本编写或可视化。
• 具有设计和执行 A/B 测试、准实验和因果推断方法(双重差分、倾向得分匹配)的实践经验,并具备高管报告和监管辩护所需的统计严谨性。
• 在 BI 工具(Looker、Tableau、Hex 或类似工具)中构建生产级仪表板和自助式分析解决方案并取得可衡量成果,减少利益相关者对临时请求的依赖。
• 具有将 ML 技术应用于运营问题的经验,包括分类、检测和归因管道,并熟悉合规或监管数据领域(AML、交易监控、案件处理)。
• 负责任地使用生成式 AI,保持人工监督,以交付可供业务使用的成果,并推动工作流效率、成本和质量的可衡量改进。
PID: P77456 薪酬透明度通知:基本薪资因地点而异(见下方范围)。总薪酬还可能包括股权和奖金资格,以及福利(医疗、牙科、视力、401(k))。
年度基本薪资范围(不包括股权和奖金): $180,370 — $212,200 USD
• 申请限制:候选人在 6 个月内最多可提交 3 份申请。
• 平等机会雇主:Coinbase 是平等机会雇主。所有合格申请人都会获得就业考虑,不因种族、肤色、宗教、性别、性取向、性别认同、国籍、残疾、受保护退伍军人身份或遗传信息而受到歧视。有犯罪历史的申请人将根据适用的联邦、州和地方法律予以考虑。
• 美国申请人:查看员工权利、了解你的权利和 E-Verify 参与通知。
• 便利安排:如果你是残障人士且需要合理便利,请将你的请求和联系信息发送至 accommodations[at]coinbase.com。需要屏幕阅读技术?点击此处下载免费的兼容屏幕阅读器并查看教程。
• 数据隐私与仲裁:提交申请即表示你同意我们的候选人隐私通知。美国申请人:提交申请即表示你同意争议仲裁。
以上内容由机器翻译自动生成,可能存在错误;投递前请以雇主原文为准。
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职位描述
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 Analytics Engineer on the GFCO Analytics Engineering team within the Customer Experience organization, you'll build the data foundations and analytical models that power customer experience and compliance operations at Coinbase. This team develops trusted metrics, scalable pipelines, and causal measurement frameworks that enable CX stakeholders to make faster, better decisions. You'll own end-to-end data models, design experiments, and apply machine learning to problems that directly influence how we serve and protect millions of customers.
岗位职责
• Own the design, build, and maintenance of production data pipelines, dimensional models, and ML-powered analytics products (including LLM-based contact classification, friction detection, and issue attribution) serving CX and compliance use cases.
• Drive the development of self-service dashboards and AI-assisted analytics tools in Looker, Hex, or Python visualization libraries that reduce time-to-insight for CX stakeholders and operational teams.
• Design and execute causal inference frameworks and quasi-experiments (A/B tests, holdout frameworks, difference-in-differences analyses) to measure the incremental impact of CX programs on customer retention and product engagement.
• Partner with cross-functional stakeholders to translate business needs into scalable data solutions, managing a long-term analytics roadmap that balances tactical delivery with strategic investment.
• Lead deep-dive investigations into key performance metrics using advanced statistical methods (Bayesian reasoning, time series analysis, propensity score matching) to identify actionable opportunities that improve customer outcomes, operational efficiency, and compliance posture.
• Shape analytics engineering standards, documentation practices, and testing frameworks that enable the broader team to move faster with higher data quality and statistical rigor.
Required Skills and Experience:
• 5+ years of experience in analytics engineering, data science, or data engineering, with hands-on ownership of production data pipelines, dimensional data models (star/snowflake schemas), and statistical or ML models in dbt, Airflow, Snowflake, or similar.
• Advanced SQL and Python proficiency applied to data model development, pipeline orchestration, causal inference, statistical analysis, and ML model deployment - not limited to scripting or visualization.
• Demonstrated experience designing and executing A/B tests, quasi-experiments, and causal inference methods (difference-in-differences, propensity score matching) with the statistical rigor required for executive reporting and regulatory defensibility.
• Proven success building production-grade dashboards and self-serve analytics solutions in BI tools (Looker, Tableau, Hex, or similar) that measurably reduced stakeholder dependency on ad-hoc requests.
• Experience applying ML techniques to operational problems, including classification, detection, and attribution pipelines, with familiarity in compliance or regulatory data domains (AML, transaction monitoring, case handling).
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.
PID: P77456 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 .