Amazon’s Optimal Sourcing Systems (OSS) BI and Analytics (BI and A) team is looking for an experienced Sr Data Scientist to be a part of a team solving some of the very complex inbound sourcing problems using ML and potentially AI. To accomplish our goals we build simulation and experimentation systems at scale, build optimization algorithms and leverage cutting-edge technologies across Operations Research, Software Engineering, Machine Learning, Forecasting, and Linear Programming. This is an opportunity to think big about how to optimize the world’s most diverse supply chain. You will deliver tens of millions of dollars in savings annually through efficiency improvements to our supply chain. OSS is part of the Supply Chain Optimization Technology (SCOT) - a centralized organization that owns automated systems for demand forecasting, inventory management, sourcing, inbound optimization, Fast Track promise and order fulfillment. The OSS team works with several vendor inputs/constraints
· Bachelor's degree in Statistics, Applied Math, Operations Research, Economics, or a related quantitative field with 5 years of working experience as a Data Scientist · Proficient with data analysis and modeling software such as Spark, R etc. · Proficient with using scripting language such as Python and data manipulation/analysis libraries such as Scikit-learn and Pandas for analyzing and modeling data. · Experienced in using multiple data science methodologies to solve complex business problems. · Experienced in handling large data sets using SQL and databases in a business environment. · Excellent