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Senior Data Scientist III, Community Intelligence Science & Engineering

Amazon.com Inc
  • Bellevue, WA
    5 days ago

    Job Description

    Amazon"s Community Intelligence Science & Engineering team operates at the intersection of computational social science, artificial intelligence, and operational excellence. We analyze how Amazon"s presence impacts local communities and embed those insights into core operational models. You"ll work at the forefront of applied AI and causal inference, building systems that influence decisions affecting thousands of communities daily.

    This role offers a unique opportunity to shape how the world"s most customer-centric company builds sustainable relationships with the communities we serve. A successful Data Scientist on our team demonstrates exceptional scientific rigor combined with pragmatic execution. You"ll balance breakthrough research with production deployment, collaborate across multiple science organizations, and translate complex analytical findings into actionable insights that influence senior leadership strategy.

    As a Senior Data Scientist, you will partner with product teams, scientists, and technical leaders across Last Mile, Middle Mile, WW Ops Security, WW Real Estate, and other organizations to identify opportunities where community intelligence creates multiplicative business impact.

    Key job responsibilities

    • Design and deploy production ML forecasting systems with extended prediction horizons using multi-modal data sources
    • Build and scale AI-powered analytics platforms that process large volumes of unstructured data from diverse sources including social media, traditional media, and internal systems
    • Collaborate with operational science teams to integrate analytical insights and predictive signals into existing operational models and decision-making systems
    • Build automated causal discovery systems leveraging knowledge graphs, LLMs, and document understanding to uncover relationships between business actions and outcomes
    • Develop NLP and GenAI applications including event detection, sentiment analysis, cross-platform clustering, and multilingual insight synthesis
    • Partner with engineering teams to productionize models using AWS services (SageMaker, EMR, Lambda, Kinesis, Glue) with clear POC-to-production handoff criteria
    • Mentor junior scientists and contribute to building a research culture that balances high-risk, high-reward innovation with reliable product delivery
    • Author internal and externally-facing scientific publications and technical documents

    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 the team

    Amazon Community Operations (CommOps) works to anticipate our communities' needs and build positive net impact anywhere we operate. From Operational Excellence to Community Outreach, Community Operations is defining what it means to be a positive presence in the community. This is a fast-paced, start-up environment where creative problem solving, operational excellence, and building relationships are the core of our day-to-day work.

    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

    • AWS Lambdaunmatched
    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Building Systemsunmatched
    • Business Intelligenceunmatched
    • Data Scienceunmatched
    • Electronic Medical Recordsunmatched
    • Forecastingunmatched
    • Leadershipunmatched
    • Mentoringunmatched
    • Operations Security (OPSEC)unmatched
    • Problem Solving Skillsunmatched
    • Production Systemsunmatched
    • Real Estateunmatched
    • Riskunmatched
    • Scientific Publicationsunmatched
    • Social Mediaunmatched
    • Social Sciencesunmatched
    • Startupunmatched
    • Technical Writingunmatched
    • Unstructured Dataunmatched
    • Writing Skillsunmatched

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