The Supply Chain Optimization Technologies (SCOT) organisation owns Amazon’s global inventory management systems : we decide what, when, where, and how much we should buy to meet Amazon’s business goals and to make our customers happy.
We do this for millions of items, for hundreds of product lines worth billions of dollars of inventory world-wide. Our systems are built entirely in-house, and are on the cutting edge in automated large-scale business, inventory and supply chain planning and optimization systems.
We foster new game-changing ideas, creating ever more intelligent and self-learning systems to maximize the efficiency of Amazon's inventory investment and placement decisions.
The Automated Inventory Management team within SCOT seeks an experienced and motivated Data Scientist / Business Intelligence Engineer / Business Analyst with outstanding leadership skills, proven ability to develop, enhance, automate, and manage analytics models using strong quantitative skills.
The successful candidate will have strong data mining and modeling skills and be comfortable facilitating ideation and working from concept through to execution.
This role will also build tools and support structures needed to analyze data, dive deep into data to determine root cause of forecast / buying systems errors & changes, and present findings to business partners to drive improvements.
Additional responsibilities may include :
Manipulating / mining data from database tables (Redshift, Oracle, Data Warehouse)
Creating automated metrics using complex databases
Providing analytical network support to improve quality and standard work results
Researching root causes of issues, to identify process breakdowns and provide insight on potential solutions
Researching machine learning algorithms
Fostering culture of continuous engineering improvement through mentoring, feedback, and metrics
2+ years of quantitative and qualitative experience in Logistics / Supply Chain, Transportation, Engineering or Business
Bachelor's Degree in Engineering, Maths, Statistics, Finance, Computer Science, or related industry experience
Experience with statistical analysis, regression modeling and forecasting, time series analysis, data mining, financial analysis, and demand modeling
Experience using statistical software such as R, SAS, SPSS, Minitab
Advanced user of Excel or Tableau, able to manipulate data, write macros and create charts and pivot tables
SQL scripting for analysis and reporting
Programming experience in one or more languages (eg Python, VBA, MATLAB, Java, C++)
Experience processing, filtering and presenting insights around large data sets (millions of rows)
Strong written and verbal communication skills. The role requires effective communication with colleagues from economics and business backgrounds
Master’s degree or higher in Engineering, Maths, Finance, Statistics, Computer Science, or other technical field from an accredited university
Experience working in a fast-paced, high tech environment (preferably software development)
Experience working in or with a complex international supply chain management organization
Experience incubating and commercializing new ideas, working with product managers, research scientists and technical teams from concept generation through implementation