Amazon.com Services LLC

Machine Learning Science, Applied Science, core ai

Sr.AppliedScienceManager,StoresEconomicsandSciences

$219–296k Seattle, Washington, United States FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Manager candidates.

The Brief

“Sr. Applied Science Manager, Stores Economics and Sciences at Amazon.com Services LLC. Skills: Economics, Statistics, Machine Learning. Understand economy. Design economy”

What You'll Achieve.

Major impact on business

Industry & Context.

Machine Learning Science, Applied Science, core ai
Problems you'll solve

Structure complex problems

What They're Looking For.

Must Have

10+ years ML/AI solutions, Master's degree, Distill informal requirements, Hiring and leading scientists, Develop junior members

Nice to Have

10+ years applied ML, 5+ years big data, 5+ years people management, PhD in Computer Science, Experience with big data, Experience with ML, Experience with predictive modeling

What You'll Do.

Turn analysis into policies

Turn analysis into programs

Turn analysis into actions

How You'll Work.

Team & Collaboration

Interdisciplinary team; Business partners; Tech partners

Full Job Description

The Stores Economics and Science (SEAS) team uses Economics, Statistics, and Machine Learning to understand and design the complex economy of Amazon’s network of buyers and sellers. We are an interdisciplinary team, committed to use of cutting edge technology and leveraging the strengths of engineers and scientists to build solutions for some of the toughest business problems at Amazon. We are looking for an outstanding science manager who is able to provide structure around complex business problems, work with machine learning scientists to estimate and validate their models on large scale data, and who can help business and tech partners turn the results of their analysis into policies, programs, and actions that have a major impact on Amazon’s business. We are looking for creative thinkers who can combine a strong economic toolbox with a desire to learn from others, and who know how to execute and deliver on big ideas. Experience in applied economic analysis is essential, and you should be familiar with modern tools for data science and business analysis. Basic Qualifications: - 10+ years of building large-scale machine learning and AI solutions at Internet scale experience - Master's degree in Computer Science (Machine Learning, AI, Statistics, or equivalent) - Experience building large-scale machine learning and AI solutions at Internet scale - Experience distilling informal customer requirements into problem definitions, dealing with ambiguity and competing objectives - Experience hiring and leading experienced scientists as well as having a successful record of developing junior members from academia or industry to a successful career track Preferred Qualifications: - 10+ years of practical work applying ML to solve complex problems for large-scale applications experience - 5+ years of hands-on work in big data, machine learning and predictive modeling experience - 5+ years of people management experience - PhD in Computer Science (Machine Learning, AI, Stati

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