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Data Science Leader for Last Mile Logistics
1 month ago
Amazon, an inclusive employer and a member of myGwork – the largest global platform for the LGBTQ+ business community, is looking for a highly skilled Data Science Leader to join their Last Mile Routing & Planning organization. This role offers the opportunity to build cutting-edge data and science-driven technologies for delivering packages to customers' doorsteps.
About the JobThe Last Mile Routing & Planning organization builds software, algorithms, and tools that make home delivery happen. Our team supports deliveries for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other initiatives.
About the RoleYou will partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems.
Your Responsibilities- Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations.
- Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities.
- Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value.
- Navigate ambiguity to develop analytic solutions and shape work for junior team members.
- 10+ years of professional or military experience.
- 5+ years of SQL experience.
- Experience programming to extract, transform and clean large (multi-TB) data sets.
- Experience with theory and practice of design of experiments and statistical analysis of results.
- Experience with AWS technologies.
- Experience in scripting for automation (e.g. Python) and advanced SQL skills.
- Experience with theory and practice of information retrieval, data science, machine learning and data mining.
depending on location and experience.
