Amazon Global Logistics (AGL) is seeking an experienced candidate/leader to lead our data science and analytics team and develop a long-term roadmap for analytic capabilities.. The qualified candidate will bring their technical and analytical expertise and have the ability to directly impact the building of new tools, services, and distribution structures across Amazon’s growing footprint. The right candidates will thrive in a fast-paced, ambiguous environment with interactions across a wide variety of e-commerce topics, and will demonstrate competence in multiple fields and skill sets. This is an opportunity to join a group with a broad charter and stakeholders across Amazon. In this role, you will be working in one of the world's largest and most complex data warehouse environments. You should be passionate about working with huge datasets and be someone who loves to bring data together to answer business questions. You should have deep expertise in creation and management of datasets
· Statistics, Applied Mathematics, Operation Research, Economics or a related quantitative bachelor or master degree. · At least 4 years of experience with data querying languages (e.g. SQL), large-scale data warehousing and analytics projects, modeling, ETL development, scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, Weka, SAS, Matlab) (data extraction, manipulation, statistical analysis and predictive modeling). · 4+ years of work experience in data analysis, applied statistics or econometrics. · 3+ years of experience managing/mentoring teams of Data Engineers/Scientists,