Amazon.com Inc logo

Software Development Manager, OIH

Amazon.com Inc
  • Bellevue, WA
    1 day ago

    Job Description

    Do you enjoy solving challenging problems using data mining, mathematical programming, and statistical analytics? Are you excited to apply technologies such as cloud computing, machine learning, and big data analytics to real-world business problems? Have you ever wondered how leading companies in the world of e-commerce manage inventory for millions products? Amazon Optimal Inventory Healthy team is seeking people like you.

    Our team is building scalable distributed systems based on Big Data to support the rapidly growing business of Amazon worldwide (North America, Europe and Asia) and enhance Amazon's free cash flow and long term profitability. You will evaluate and optimize inventory health for dozens of millions of products over time to maximize inventory value. You will work closely with talented people including product manager, research scientists, software engineers, and Amazon business teams worldwide to develop advanced mathematical and economic models and execute those model recommendations. You will take end to end responsibility, utilize Amazon's massive data, sophisticated algorithms and cloud computation infrastructure (AWS) and thousands of machines, and make decisions with billion dollar impact to Amazon's business. You will also become an expert in supply chain management with deep understanding of Amazon business workflows and execution practices.

    If you are passionate about event driven systems, data, ML/RL and new technology, eager to seek challenging and innovative opportunities, and motivated to deliver the best customer experience, then our team is the perfect fit for you.

    Key job responsibilities

    • Collaborate with experienced cross-disciplinary Amazonians to conceive, design, and bring innovative products and services to market.
    • Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
    • Create solutions to run predictions on distributed systems with exposure to innovative technologies at incredible scale and speed.
    • Build distributed ML/RL systems that are scalable, fault-tolerant, low cost, and easy to manage/use.
    • Design and code the right solutions starting with broadly defined problems.
    • Work in an agile environment to deliver high-quality software.

    About the team

    Supply Chain Optimization Technology (SCOT) is the core of the Amazon eCommerce business, which leverage science models and systems to automate the decisions and operations of the most complex supply chain in the world. Optimal Inventory Health (OIH) maximize the inventory value in Amazon through all the levers across selling channels and removal channels.

    Numbers & Facts

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

    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

    Skills

    • Algorithmsunmatched
    • Amazon Web Services (AWS)unmatched
    • Big Dataunmatched
    • Business Growthunmatched
    • Cash Flowunmatched
    • Cloud Computingunmatched
    • Computer Systemsunmatched
    • Customer Experienceunmatched
    • Data Analysisunmatched
    • Data Miningunmatched
    • Distributed Computingunmatched
    • Economic Modelingunmatched
    • Inventory Managementunmatched
    • Long-Term Profitunmatched
    • Machine Learningunmatched
    • Mathematical Modelingunmatched
    • Mathematicsunmatched
    • Problem Solving Skillsunmatched
    • Product Managementunmatched
    • Scalable System Developmentunmatched
    • Scientific Researchunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Statistical Analysis System (SAS)unmatched
    • Statistical Programming Languagesunmatched
    • Supply Chainunmatched
    • Supply Chain Managementunmatched
    • Supply Chain Optimizationunmatched
    • Systems Scalabilityunmatched
    • eCommerceunmatched

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