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Senior Manager, Applied Science, Network Planning Solutions

Amazon.com Inc

  • Seattle, WA
  • 30+ days ago
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    Skills

    • Algorithmsunmatched
    • Artificial Intelligence (AI)unmatched
    • Cross-Functionalunmatched
    • Customer Experienceunmatched
    • Customer Support/Serviceunmatched
    • Demand Forecasting/Planningunmatched
    • Experiment Designunmatched
    • Forecastingunmatched
    • International Operationsunmatched
    • Leadershipunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Network Architecture/Engineeringunmatched
    • Optimization Algorithmunmatched
    • Problem Solving Skillsunmatched
    • Process Improvementunmatched
    • Scientific Researchunmatched
    • Team Lead/Managerunmatched
    • Technical/Engineering Designunmatched
    • User Interface/Experience (UI/UX)unmatched

    Description

    Have you ever wondered what it takes to transform millions of manual network planning decisions into AI-powered precision? Network Planning Solutions is looking for scientific innovators obsessed with building the AI/ML intelligence that makes orchestrating complex global operations feel effortless. Here, youll do more than just build models; youll create delight by discovering and deploying the science that delivers exactly what our customers need, right when they need it. If youre ready to transform complex data patterns into breakthrough AI capabilities that power intuitive human experiences, youve found your team.

    Network Planning Solutions architects and orchestrates Amazons customer service network of the future. By building AI-native solutions that continuously learn, predict and optimize, we deliver seamless customer experiences and empower associates with high-value work-driving measurable business impact at a global scale.

    As a Sr. Manager, Applied Science, you will own the scientific innovation and research initiatives that make this vision possible. You will lead a team of applied scientists and collaborate with cross-functional partners to develop and implement breakthrough scientific solutions that redefine our global network.

    Key Job Responsibilities

    • Develop and deploy production-ready demand forecasting algorithms that continuously sense and predict customer demand using real-time signals • Build network optimization algorithms that automatically adjust staffing as conditions evolve across the service network • Architect scalable AI/ML infrastructure supporting automated forecasting and network optimization capabilities across the system

    Drive Scientific Excellence

    • Build and mentor a team of applied scientists to deliver breakthrough AI/ML solutions • Design rigorous experiments to validate hypotheses and quantify business impact • Establish scientific excellence mechanisms including evaluation metrics and peer review processes

    Enable Strategic Transformation

    • Drive scientific innovation from research to production - Design and validate next-generation AI-native models while ensuring robust performance, explainability, and seamless integration with existing systems. • Partner with Engineering, Product, and Operations teams to translate AI/ML capabilities into measurable business outcomes • Navigate ambiguity through experimentation while balancing innovation with operational constraints • Influence senior leadership through scientific rigor, translating complex algorithms into clear business value

    A Day in the Life

    Your day will be a dynamic blend of scientific innovation and strategic problem-solving. Youll collaborate with cross-functional teams, design AI algorithms, and translate complex data patterns into intuitive solutions that drive meaningful business impact.

    About the Team

    We are Network Planning Solutions, a team of scientific innovators dedicated to reshaping how global service networks operate. Our mission is to create AI-native solutions that continuously learn, predict, and optimize customer experiences. We empower our associates to tackle high-value challenges and drive transformative change at a global scale.

    Numbers & Facts

    LocationSeattle, 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

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