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Data Scientist III, Amazon Devices Software & Services

Amazon.com Inc
  • Denver, CO
    10 days ago

    Job Description

    Application deadline: Oct 3, 2026

    Are you excited about using data to shape decisions that reach millions of customers? Do you thrive on solving ambiguous, high-impact problems with creative analytical approaches? As a Data Scientist III at Amazon, you will lead the design and delivery of data science solutions that drive measurable business outcomes. You will apply your broad expertise across machine learning, statistical modeling, and experimentation to tackle complex challenges and uncover opportunities. In this role, you will influence business strategy through rigorous analysis, recommend the right scientific methods for each problem, and set standards that raise the bar for your team. You will collaborate across teams to understand how systems and processes interact, and you will build models and analyses that are actionable, extensible, and easy for others to build upon.

    Key job responsibilities

    • Lead the design and implementation of data science solutions for complex or ambiguous problems, applying machine learning, statistical modeling, and experimentation to deliver measurable business impact.
    • Evaluate cross-team perspectives and model interactions among teams, processes, and systems to recommend the right data science strategy and methods for each challenge.
    • Drive data science best practices and set standards across your team, including building reproducible models and analyses that others can contribute to and extend.
    • Mentor and develop other data scientists by reviewing their analyses, providing technical feedback, and sharing expertise through presentations and knowledge-sharing sessions.
    • Identify gaps in current metrics and propose new measurements or data sources, challenging assumptions and proactively restructuring approaches to resolve root causes of recurring problems.

    A day in the life

    You might start your morning reviewing the results of a model you recently deployed, assessing its performance against key business metrics. Later, you join a cross-functional meeting to align on the analytical approach for a new initiative, translating business questions into well-defined scientific problems. In the afternoon, you pair with a teammate to debug a data pipeline issue, then spend time prototyping a new algorithm. You close the day by writing up findings for a stakeholder review, ensuring your recommendations are clear and backed by data.

    About the team

    Our team designs and engineers high-profile consumer electronics, including the best-selling Kindle family of products. We have also produced groundbreaking devices like Fire tablets, Fire TV, Amazon Dash, and Amazon Echo. Our team is focused on using data science to help Amazon make better, faster decisions for our customers. We value collaboration, intellectual rigor, and a willingness to question the status quo. You will work alongside scientists, engineers, and business partners who are passionate about turning data into action. We are investing in new modeling capabilities and measurement frameworks, and your contributions will directly shape the direction of that work. If you are looking for a role where your expertise will be valued and your growth supported, we would love to hear from you.

    Numbers & Facts

    LocationDenver, CO
    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
    • Analysis Skillsunmatched
    • Best Practicesunmatched
    • Business Strategyunmatched
    • Consumer Electronicsunmatched
    • Cross-Functionalunmatched
    • Data Managementunmatched
    • Data Scienceunmatched
    • Debugging Skillsunmatched
    • Kindleunmatched
    • Machine Learningunmatched
    • Mentoringunmatched
    • Metricsunmatched
    • Performance Analysisunmatched
    • Prototypingunmatched
    • Salesunmatched
    • Statistical Modelingunmatched
    • Strategic Analysisunmatched
    • Technical/Engineering Designunmatched

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