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Data Scientist III

Amazon.com Inc
  • Bellevue, WA
    3 days ago

    Job Description

    Do you enjoy solving complex, ambiguous problems with data and turning insights into business impact? Amazon is looking for a Data Scientist III to join a team where your analytical expertise will directly shape strategy and drive measurable outcomes. In this role, you will lead the design and delivery of data science solutions across large-scale projects, working with cross-functional partners to unlock new opportunities. You will bring broad expertise in machine learning, statistics, and scientific research to recommend the right approaches, build actionable models, and influence how your team tackles its most important challenges. If you are a collaborative, curious problem-solver who thrives on turning data into decisions, we want to hear from you.

    Key job responsibilities

    • Lead the design, implementation, and delivery of data science solutions for complex or ambiguous business problems, selecting appropriate machine learning and statistical methods to maximize impact.
    • Build, train, and evaluate machine learning models (e.g., classification, regression, clustering) using tools such as Python, R, and SQL, and apply advanced techniques including generative AI where appropriate.
    • Partner with cross-functional teams to translate business questions into rigorous analytical frameworks, and communicate findings that influence team and organizational strategy.
    • Drive data science best practices and set standards for your team, including reviewing analyses, data modeling processes, and results produced by peers, and providing constructive feedback.
    • Mentor and develop other data scientists in your organization, share knowledge of emerging methods and techniques, and contribute to internal enablement through presentations and documentation.

    A day in the life

    You might start your morning reviewing experiment results or refining a model you have been iterating on, then join a working session with engineers and product partners to align on how your analysis will inform an upcoming launch. After lunch, you could be exploring a new dataset, prototyping a novel approach, or writing up findings for a broader audience. Throughout the day, you will balance hands-on technical work with mentoring teammates and collaborating across groups to ensure your solutions address real business needs.

    About the team

    Our team is passionate about using data science to solve meaningful problems at Amazon scale. We value collaboration, intellectual curiosity, and a commitment to building solutions that are rigorous, reproducible, and actionable. Whether you are developing new models, mentoring colleagues, or partnering with stakeholders to shape strategy, you will be part of a group that invests in your growth and celebrates creative problem-solving. We are focused on building an inclusive environment where every voice contributes to our shared mission.

    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

    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Best Practicesunmatched
    • Business Strategyunmatched
    • Communication Skillsunmatched
    • Cross-Functionalunmatched
    • Data Analysisunmatched
    • Data Modelingunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Documentationunmatched
    • Equipment Selectionunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Problem Solving Skillsunmatched
    • Process Modelingunmatched
    • Prototypingunmatched
    • Python Programming/Scripting Languageunmatched
    • R Programming Languageunmatched
    • SQL (Structured Query Language)unmatched
    • Scientific Researchunmatched
    • Statisticsunmatched
    • Team Playerunmatched

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