亚马逊Senior Data Scientist, Amazon Global Selling -AIT
任职要求
基本任职资格 - 8+ years of data scientist or similar role involving data extraction, analysis, statistical modeling and communication experience - 6+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Experience with statistical models e.g. multinomial logistic regression - 5+ years of hands on experience with Python to build, train, and evaluate models 优先任职资格 - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team - Experience working with data engineers and business intelligence engineers collaboratively Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
工作职责
• Collaborate with BIE,DE, PM, CSM to research, design, develop, and evaluate generative AI solutions to address Global Selling challenges. • Interact with stakeholders directly to understand their business problems, aid them in implementation of generative AI solutions, brief stkaholders and guide them on adoption patterns and paths to production • Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder
• Define and deliver large-scale BI solutions, including data modeling, KPI standardization, and pipeline automation. • Lead migration of legacy reporting into modern AWS QuickSight and other BI platforms. • Establish and maintain data foundations for social and marketing data, ensuring completeness, accuracy, and compliance. • Conduct advanced analytics, including user behavior modeling, segmentation, and marketing campaign measurement. • Generate actionable insights and recommendations to improve seller journeys, marketing effectiveness, and AI agent performance. • Collaborate with marketing operation team, data engineers, product managers, SDEs, financial analysts, and data scientists to design metrics and guide business decisions. • Drive best practices in operational excellence, data quality management, and data governance. A day in the life You will define marketing BI strategy, build scalable data models and generate actionable insights that drive product, marketing, and AI initiatives. You will partner with data engineering, product, and science teams to ensure high-quality, compliant, and scalable data foundations. Your work will directly influence AI-powered agents, seller engagement, and business growth.
测量和分析（Measurement & Analytics）团队是优化我们国际化大规模营销预算的关键参与者。 您将加入一个由热情的数据科学家和分析师组成的专业团队，为国际化业务提供最佳营销建议。 作为数据科学家，您将负责支持创新解决方案的开发、挑战行业现状并通过高级数据自动化扩展解决方案。 覆盖 10 +国家和 业务线，您将接触到许多合作方，他们是各自领域的专家。 快速迭代和不断学习将是这一旅程的关键部分。 如果您喜欢从0到1的创造，持续的学习进步的机会，国际化的团队氛围和灵活的办公环境，与多元化的顶尖人才团队合作，那么这可能是您的理想工作！ 你的责任 ● 您将成为消费者分析中所有形式的营销归因和衡量（Marketing Attribution & Measurement )的专家，就营销衡量框架(Marketing Measurement Framework)向其他数据分析师和营销团队提供专家建议。 ● 与其他数据分析师和分析工程师密切合作，制定和执行数据科学发展规划的路线图，将一流的衡量框架投入生产。 ● 您的工作将主要集中在开发一流的营销衡量流程和框架（包括Marketing Mix Modeling, Attribution and Incrementality Test/Geo Lift Test, etc），这将作为我们营销策略的基石，使团队能够 跨营销渠道和市场做出更明智的投资决策。 ● 您还将致力于建立统计/机器学习模型来预测用户生命周期价值（LTV 模型）和其他创新数据科学项目。 ● 您将是数据布道师，宣传数据的使用并主动发现机会以提高整个组织的数据素养和参与度。
高级数据科学家 测量和分析（Measurement & Analytics）团队是优化我们国际化大规模营销预算的关键参与者。 您将加入一个由热情的数据科学家和分析师组成的专业团队，为国际化业务提供最佳营销建议。 作为数据科学家，您将负责支持创新解决方案的开发、挑战行业现状并通过高级数据自动化扩展解决方案。 覆盖 10 +国家和 业务线，您将接触到许多合作方，他们是各自领域的专家。 快速迭代和不断学习将是这一旅程的关键部分。 如果您喜欢从0到1的创造，持续的学习进步的机会，国际化的团队氛围和灵活的办公环境，与多元化的顶尖人才团队合作，那么这可能是您的理想工作！ 你的责任 ● 您将成为消费者分析中所有形式的营销归因和衡量（Marketing Attribution & Measurement )的专家，就营销衡量框架(Marketing Measurement Framework)向其他数据分析师和营销团队提供专家建议。 ● 与其他数据分析师和分析工程师密切合作，制定和执行数据科学发展规划的路线图，将一流的衡量框架投入生产。 ● 您的工作将主要集中在开发一流的营销衡量流程和框架（包括Marketing Mix Modeling, Attribution and Incrementality Test/Geo Lift Test, etc），这将作为我们营销策略的基石，使团队能够 跨营销渠道和市场做出更明智的投资决策。 ● 您还将致力于建立统计/机器学习模型来预测用户生命周期价值（LTV 模型）和其他创新数据科学项目。 ● 您将是数据布道师，宣传数据的使用并主动发现机会以提高整个组织的数据素养和参与度。
Partner with business teams to translate strategic questions into analytical frameworks Build and apply models for causal inference, forecasting, and optimization Analyze complex datasets, including geospatial and market data, to identify performance drivers Present clear, actionable insights to stakeholders