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BASIC QUALIFICATIONS - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science- 4+ years of data scientist experience- 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.
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In this role, you will be building complex data engineering and business intelligence applications using AWS big data stack. AWS Databases, Analytics and AI/ML Products and Services is one of the largest and fast-growing business unit within AWS. We are working to rebuild and revolutionize data engineering and business intelligence systems within database, analytics and AI/ML organization to support fast growing business needs.
$205,600 a yearFull-timeExpandApply NowActive JobUpdated 1 month ago - UpvoteDownvoteShare Job
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You will define the scientific roadmap, identify relevant data, propose innovative machine learning solutions, conduct rigorous experiments, publish results, and work with the engineering team to deploy these solutions.
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Robust understanding of fulfillment operations including under-the-roof and on-the-road processes, engineering product solutions and development of long term roadmaps. Demonstrated analytical and quantitative skills and ability to use hard data and metrics to back up assumptions and develop business cases.
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8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience. - Bachelor's degree in computer science, engineering, mathematics or equivalent.
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Bachelor's degree in Mechanical Engineering - focus on Thermal/Cooling solutions. - Lead the development, deployment, and sustainment of Mechanical Systems for our next generation data center in a highly cross-functional environment, which includes internal customers, hardware, and software development teams.
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