Sr. Data Scientist – Amazon Databases

Amazon Corporate LLC
Amazon Corporate LLC

Job Overview

Amazon Web Services (AWS) is the pioneer and recognized leader in the Cloud. Our web services provide a platform for IT infrastructure that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 500 companies in financial services, pharmaceuticals, and technology. The AWS database services organization, provides the broadest range of innovative, purpose-built IT services in the Cloud including Amazon RDS, Amazon DynamoDB, Amazon ElastiCache, Amazon Neptune, Amazon DocumentDB, Amazon Timestream, Amazon QLDB, and Amazon Keyspaces. Do you share a passion to make customers successful? Do you believe that a deep understanding of customer and business data can change an organization? Are you excited to discover and solve thorny business challenges through data analytics and business intelligence (BI) solutions? Do you thrive in a data driven organization working with diverse teams cutting across functions, organizations, and cultures to achieve a common goal? The AWS databases team is currently seeking a driven, talented, and experienced Data Scientist to support Amazon fully managed databases growth across our various services. This role will focus on Data Analytics, Data Science, and Business Intelligence to support AWS database services growth, requiring deep technical skills, a deep analytical background to provide actionable insights and decision support. As a member of this team, you will harness your strong data extraction, transformation, and load (ETL) skills to create data structures, build machine learning models, create predictive, and prescriptive models, build dashboards and visualization to support business strategy, achieve goals, and drive business and technology transformation initiatives. Responsibilities Develop a deep understanding of business metrics, reporting tools, and data structure in order to identify and drive resolution of issues, provide actionable intelligence with existing metrics or identify, develop, and propose new metrics, dashboards, scorecards or new tools. Develop relationships and processes across functional teams to drive business insight. Create processes to compile and standardize disparate information that drive standardized reporting and metrics tracking. Generate ad-hoc or recurring business and operational performance analysis, based on the needs of the business. Provide recommendations through ad-hoc data retrieval and analysis from data management systems. Create new tools and business processes that simplifies, standardizes and enables operational excellence. Basic Qualifications 7 years of business analysis experience, based on large volumes of data. MS degree in Information Technology Management, Computer Science, Computer Engineering, Mathematics, or Finance. Advanced knowledge of Excel, SQL, Tableau or other Business Intelligence tools. Experience with statistical tools such as R or SAS and a working knowledge of programming languages like Python. Demonstrated expertise in Machine Learning, Forecasting. Experience using CRM/ERP/Finance applications, and various data warehouse systems. Motivated self-starter, proactive and action-oriented, requiring limited supervision. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit

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