Senior Data Scientist, Global Logistics
Amazon is seeking a motivated candidate to provide insights into opportunities for operational improvement through analytics. Role will require analysis, understanding of the systems workflow, cross-functional communication and issues management.The successful candidate is passionate about optimizing business processes and performance metrics, and takes a driven approach to identifying and prioritizing the most impactful efforts. This role will also build tools and support structures needed to analyze, dive deep to determine root cause of system errors, network changes and performance issues. This role will need to present findings to business partners to drive improvements and prioritize customer needs to deliver the right results.Key job responsibilities- Design and implement scalable and reliable approaches to support or automate decision making throughout the business.- Apply a range of science techniques and tools combined with subject matter expertise to solve difficult business problems and cases in which the solution approach is unclear.- Build using statistical, mathematical, econometric, network, natural language processing, machine learning algorithms, genetic algorithms, and neural networks.- Acquire by building the necessary / ETL queries.- Establish scalable efficient, automated processes for large scale analyses, development, validation and implementation.- Analyze for trends and input validity by inspecting univariate distributions, exploring bivariate relationships, constructing appropriate transformations, and tracking down the source and meaning of anomalies.- Validate against alternative approaches, expected and observed outcome, and other business defined key performance indicators.- Implement that comply with evaluations of the computational demands, accuracy, and reliability of the relevant ETL processes at various stages of production.- Build relationships with stakeholders and counterparts.A day in the lifeAs a Senior Data Scientist in Global Logistics, you'll start your day by reviewing the latest operational data and identifying areas for improvement. You might collaborate with cross-functional teams to design experiments, build predictive models, or optimize existing algorithms. Throughout the day, you'll dive deep into data, uncovering insights that drive business decisions. You'll present your findings to leadership, translating complex analyses into actionable recommendations. Your work will directly impact Amazon's ability to deliver products efficiently and meet customer expectations.About the teamThe Global Logistics Data Science team is at the forefront of innovation, leveraging cutting-edge technology and advanced analytics to revolutionize Amazon's supply chain. We're passionate about solving complex problems and driving continuous improvement in our logistics network. Our team values collaboration, creativity, and a relentless focus on customer satisfaction. Join us in shaping the future of global logistics through data-driven insights and technological innovation.Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment. The benefits that generally apply to regular, full-time employees include: 1. Medical, Dental, and Vision Coverage 2. Maternity and Parental Leave Options 3. Paid Time Off (PTO) 4. 401(k) Plan Learn more about our benefits here: https://www.amazon.jobs/en/internal/benefits/us-benefits-and-stockBASIC QUALIFICATIONS- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience- 4+ years of data scientist experience- Experience with statistical models e.g. multinomial logistic regression ...