• Senior Research Scientist

    Location US-WA-Seattle
    Posted Date 2 months ago(11/9/2018 12:17 PM)
    Job ID
    Amazon.com Services, Inc.
    Position Category
    Research Science
    Company/Location (search) : Country (Full Name)
    United States
  • Job Description

    The network topology team is looking for an energetic, creative, and experienced research scientist with a solid background in operations research to join our team.
    The Topology team determines where to place new buildings for Amazon fulfillment, how many to build, and many details of how those facilities hold and move inventory. The facilities range from 26 acre Fulfillment Centers holding millions of units of inventory to the building down the street that fulfills Prime Now orders within an hour. Each year Amazon invests billions on these facilities, so even a 1% improvement in return on these investments has a huge financial impact. We are a multi-functional team of Software Engineers, Operations Research scientists, Business Intelligence Engineers and Product Managers, and we develop large-scale simulations (using production systems), Mixed Integer optimizations, Machine Learning, Statistical, and Economic models. On this team, you will research, develop, and deploy decision support products for business teams across the company. You will own the science under the models, and be responsible for new ways to model emerging operational concepts. The logistics problems we solve are unparalleled in terms of their business complexity, scale, and the pace at which we are expanding. Our research scientists collaborate with the transportation planning, routing, central economics, and geo-spatial modeling communities at Amazon. In this role, you will be part of a large, active, and mutually supporting research scientist community in the supply chain optimization technologies (SCOT) organization.
    The successful candidate will be a person who enjoys system modeling, working with stakeholders to discover driving factors and key interactions and bringing clarity to complex decisions. This position offers opportunity for immediate impact through extending our existing models, developing models for new concepts, and improving performance and fidelity through testing and analysis. We are involved in some of the biggest decisions at Amazon, driving robustly optimal solutions to near term capacity expansion and shaping the long term road map for the future global network. We cover the full research life cycle from discovery to prototyping to deploying mature decision support tools. You will need to be able to communicate clearly about your work to influence the direction and scope of the research needed to drive data driven decisions.
    Position Responsibilities:
    • Apply knowledge of optimization and heuristic approaches to formulate models, modify constraints, understand trade-offs, and improve performance.
    • Support hypothesis testing of new operational and topology concepts in simulation, experimental, and production environments.
    • Test and validate models at each stage of their life cycle.
    • Collaborate with other operations research scientists and economists from the finance, operations, and transportation teams as well as leaders in Prime Now and other fast growing businesses
    • Interact with software teams across various organizations to develop an understanding of their services and processes.
    • Apply the acquired knowledge and business judgment to build decision-support and operational tools to improve solution quality and fidelity.
    • Identify areas with potential for improvement and work with internal teams to generate requirements that can realize these improvements.
    • Provide technical leadership and mentorship to early career scientists.
    • Communicate effectively with senior leaders as well as with colleagues from computer science, research science, and business backgrounds.

    Basic Qualifications

    • Ph.D. or substantial experience in operations research or similar discipline such as industrial engineering or mathematics.
    • Expertise in optimization, mixed integer programming, and heuristic approaches.
    • Knowledge and experience with system simulation, experiments, and hypothesis testing.
    • Conversant with machine learning and statistics.
    • Ability to develop prototypes and system models using a scripting language (such as Python or R).
    • Experience solving strategic planning problems and supporting decisions makers in a technical role.

    Preferred Qualifications

    • Proficiency in one or more object-oriented programming languages such as JAVA or C++
    • Experience working with large data sets
    • Expertise in one or more of the following: simulation, decision analysis, stochastic models, forecasting, mathematical modeling or machine learning.
    • Experience working with a general optimization package such as CPLEX, XPRESS, or GAMS
    • A good understanding of analysis of algorithms and computational complexity is desirable.
    • Familiarity with network planning concepts – facility location, routing, and inventory planning models. - gained through work experience or graduate level education.

    Amazon is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation

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