• Principal Applied Scientist

    Location US-WA-Seattle
    Posted Date 2 months ago(12/2/2018 8:17 PM)
    Job ID
    Amazon.com Services, Inc.
    Position Category
    Machine Learning Science
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    Have you ever ordered a product on Amazon and when that box with the smile arrives you wonder how it got to you so fast? Wondered where it came from and how much it would have cost Amazon? If so, Amazon’s Supply Chain Optimization Technologies (SCOT) team is for you. We build systems to peer into the future and estimate the distribution of tens of millions of products every week to Amazon’s warehouses in the most cost-effective way. When customers place orders, our systems use real time, large scale optimization techniques to optimally choose where to ship from and how to consolidate multiple orders so that customers get their shipments on time or faster with the lowest possible transportation costs. This team is focused on saving hundreds of millions of dollars using cutting edge science, machine learning, and scalable distributed software on the Cloud that automates and optimizes inventory and shipments to customers under the uncertainty of demand, pricing and supply.

    Amazon’s Supply Chain Optimization Technologies (SCOT) has started a new team, FBA Inventory Optimization also referred to as Fulfillment-by-amazon Automation and Optimization (FAO), to focus on driving long term free cash flow by automating and optimizing our third-party supply chain. The teams efforts will address the key challenges facing the worldwide FBA business, including 1) improving FBA inventory efficiency, 2) efficiently balancing the supply and demand of FBA capacity, 3) closing worldwide selection gap by enabling global selling profitability, and 4) driving out costs across the FBA supply chain to spin the flywheel. This is truly a unique problem space – optimizing for inventory in Amazon’s pipeline when you don’t control the process or own the inventory. Help us automate Fulfillment By Amazon (FBA) inventory management on a worldwide scale and build scalable new systems from the ground up!

    Basic Qualifications

    The ideal candidate will have the following optimization experience and skills:
    • Ph.D. in Machine Learning, Statistics, Applied Mathematics, Computer Science or a related field with publications in refereed academic journals.
    • At least 15 years of experience in solving complicated optimization and machine learning problems
    • Experience designing and implementing transportation optimization models with focus on volume and route planning and re-planning; labor and facilities planning.
    • Excellent communication skills, both written and oral with both technical and business people. Ability to speak at a level appropriate for the audience. Experience applying these skills in both academic teaching environment and a business setting is a plus.
    • Excellent writing skills for presenting business cases and to document the models and analysis and present the results/conclusions in order to influence important decisions.
    • A working knowledge of smooth and non-smooth optimization methods accompanied by associated expertise in the use of tools and the latest technology (e.g. CPLEX, Gurobi, XPRESS).
    • The ability to implement models and tools through the use of high-level modeling languages (e.g. AMPL, Mosel, R, Matlab).
    • Experience prototyping and developing software in traditional programming languages (C++, Java, Clojure, Python).
    • Familiarity with SQL and experience with very large-scale data. The ability to manipulate data by writing scripts (Perl, Ruby, Groovy) a plus.
    • Statistical analysis, machine learning and data-modeling in a database environment is a plus.

    Preferred Qualifications

    Professional traits that are not unique to this position, but necessary for Amazon leaders:
    • Exhibits excellent judgment
    • Has relentlessly high standards
    • Thinks strategically, but stays on top of tactical execution
    • Expects and requires innovation of her/his team
    • Thinks big and has convictions
    • Results oriented
    • Has the innate ability to inspire passion in others
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