Senior Aws Product Analytics Scientist
Amazon.com Inc.
Shape AWS product decisions through statistical modeling and ML-driven analytics as a Senior Data Scientist focused on customer and business insights.The AWS Analytics Engineering team seeks a customer-focused Senior Data Scientist. You will develop science solutions for AWS services, including Compute, GenAI & Agents, Database & Analytics, and Storage. Your work translates complex business problems into recommendations influencing AWS leadership, product growth, and business risks.Key Responsibilities:
Set technical direction for ML-driven product analytics across AWS servicesDeliver proactive analytics and initiate GM and VP conversationsBuild agentic knowledge coverage mechanisms for accurate insightsDrive cross-service insights and influence product and process changesScale science and analytics across AWS organizationsRequirements:
5+ years using SQL, Python, R, SAS, Matlab, or similar tools4+ years of data scientist experienceExperience with statistical models such as multinomial logistic regressionExperience with data visualization using QuickSight, Tableau, or R ShinyExperience managing data pipelines or mentoring data science teamsApply statistical modeling, product analytics, and scientific judgment to help AWS leaders understand growth drivers and customer insights.
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Set technical direction for ML-driven product analytics across AWS servicesDeliver proactive analytics and initiate GM and VP conversationsBuild agentic knowledge coverage mechanisms for accurate insightsDrive cross-service insights and influence product and process changesScale science and analytics across AWS organizationsRequirements:
5+ years using SQL, Python, R, SAS, Matlab, or similar tools4+ years of data scientist experienceExperience with statistical models such as multinomial logistic regressionExperience with data visualization using QuickSight, Tableau, or R ShinyExperience managing data pipelines or mentoring data science teamsApply statistical modeling, product analytics, and scientific judgment to help AWS leaders understand growth drivers and customer insights.
#J-18808-Ljbffr
Vacancy posted 1 hour ago
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