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Data Scientist II, SCOT OSS - Sourcing Execution & Performance

Amazon.com Inc

  • Bellevue, WA
  • 30+ days ago

    Highlights

    The Data Scientist II, in partnership with the Product Management, Operations, and Tech teams, will lead efforts in four areas: 1) Building models to set optimal parameters such as lead times to ensure the accuracy of our Inbound network. OSS designs and builds systems that measure and manage Amazon's supplier capabilities, identify and react to supply disruptions, and prioritizes inbound freight for our global network.

    Numbers & Facts

    LocationBellevue, WA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    Description

    Have you ever ordered a product on Amazon and when that box with the smile arrived, wondered how it got to you so fast? Wondered where it came from and how much it cost Amazon? If so, the Amazon Global Supply Chain Optimization Technology (SCOT) organization is for you.

    Watch this video to learn more about our organization, SCOT: http://bit.ly/amazon-scot

    We are the Optimal Sourcing Systems team (OSS) within SCOT and are looking for a Data Scientist II to join us! OSS designs and builds systems that measure and manage Amazon's supplier capabilities, identify and react to supply disruptions, and prioritizes inbound freight for our global network. OSS software is used by every country Amazon services, and is a critical link to ensuring Amazon offers the products our customers want, at the lowest possible cost. This team under OSS orchestrates and tracks inventory movement into Amazon"s network, maintains performance feedback loops, and ensures vendor compliance.

    The Data Scientist II, in partnership with the Product Management, Operations, and Tech teams, will lead efforts in four areas:

    1) Building models to set optimal parameters such as lead times to ensure the accuracy of our Inbound network

    2) Building analytical frameworks to identify and drive improvements in purchase order lifecycle management and defect coaching/chargebacks

    3) Developing Gen AI solutions related to dispute evaluation and vendor coaching

    4) Building models and solutions to enable collaborative inventory planning with vendors

    The ideal candidate thrives in ambiguous problem spaces, relishes working with large volumes of data, and enjoys the challenge of highly complex supply chain contexts. They can translate complex business logic into scalable models and communicate insights effectively to both technical and non-technical stakeholders. Keys to success in this role include exceptional analytics, statistics, judgment, and communication skills. Experience with supply chain optimization, operations research, or vendor management systems is a plus.

    Key job responsibilities

    • Collaborate with product managers, science, and engineering teams to design and implement model solutions for Sourcing Execution & Performance systems
    • Use large datasets or experiments to make causal inferences or predictions
    • Work with engineers to automate science analysis processes and build scalable measurement solutions
    • Interpret data, write reports, and make actionable recommendations
    • Drive technical standards and best practices for the team"s Science solutions
    • Mentor and provide technical guidance to other team members on complex projects

    A day in the life

    Amazon offers a full range of benefits that support you and eligible family members, including domestic partners and their children. Benefits can vary by location, the number of regularly scheduled hours you work, length of employment, and job status such as seasonal or temporary employment.

    The benefits that generally apply to regular, full-time employees include:

    • Medical, Dental, and Vision Coverage
    • Maternity and Parental Leave Options
    • Paid Time Off (PTO)
    • 401(k) Plan

    If you are not sure that every qualification on the list above describes you exactly, we"d still love to hear from you!

    At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you're passionate about this role and want to make an impact on a global scale, please apply!

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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