Amazon.com Inc logo

Data Scientist, Automated Vehicle Testing

Amazon.com Inc
  • Redmond, WA
    13 days ago

    Job Description

    Amazon Leo is Amazon's low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we've designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity.

    Export Control Requirement:

    Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum.

    We are looking for an experienced Data Scientist to help architect state-of-the-art test infrastructure and lead the development of data models and analysis tools to represent the ground truth about satellite test results in order to facilitate important business decisions. Our team is responsible for core infrastructure and tools that will serve as the backbone of automated satellite testing operations to enable rapid scaling of manufacturing processes.

    Key job responsibilities

    • Work with engineering, software and manufacturing teams to understand drivers, impacts, and key influences on satellite performance
    • Lead the design, build and implementation of production models and make decisions in real time for satellite test results
    • Drive actions at scale to optimize test methodology and drive increases to satellite reliability
    • Analysis and modeling of satellite telemetry from test results in lab and on-orbit
    • Develop models and data pipelines for satellite telemetry
    • Create and manage datasets for continued pre-training and supervised fine-tuning of LLMs
    • Develop scalable visualizations for analysis of satellite performance

    A day in the life

    As Amazon Leo Data Scientist you will own the architecture definition and development of data analysis tools to to aid engineering and production teams in deciding flight-worthiness of each Amazon Leo satellite and historical traceability tools to enable simplified discovery and interpretation of past test data. You will work with multiple engineering, software and manufacturing teams across ground and space systems, to specify requirements, define data collection, interpretation strategies, data pipelines and implement data analysis and reporting tools for Integrated Vehicle tests. Your focus will be in optimizing the analysis of test results to enable Amazon Leo production plans.

    About the team

    The Automated Vehicle Testing Team is a mix of scientists and software engineers responsible for data infrastructure, tools, and research that serve as the backbone of automated satellite testing operations to enable rapid scaling of manufacturing processes.

    Numbers & Facts

    LocationRedmond, 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
    • Automotive Automationunmatched
    • Broadbandunmatched
    • Data Analysisunmatched
    • Data Collectionunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Modeling Toolsunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Database Report Toolsunmatched
    • Governmentunmatched
    • Hospitalunmatched
    • Laboratory Testingunmatched
    • Manufacturingunmatched
    • Manufacturing/Industrial Processesunmatched
    • Performance Analysisunmatched
    • Production Planningunmatched
    • Quality Assurance Methodologyunmatched
    • Regulationsunmatched
    • Requirements Managementunmatched
    • Satellite Operationsunmatched
    • Scalable System Developmentunmatched
    • Software Engineeringunmatched
    • Telemetryunmatched
    • Test Automationunmatched
    • Test Dataunmatched
    • Test Toolsunmatched
    • Testingunmatched
    • Traceabilityunmatched
    • United States Citizenunmatched

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