Senior Applied Scientist, Modeling and Optimization jobs in United States
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Amazon · 1 day ago

Senior Applied Scientist, Modeling and Optimization

Amazon is looking for a motivated individual to join the Modeling and Optimization (MOP) Routing Science team. The role focuses on developing and improving last-mile experiences through algorithmic and analytical work, requiring strong skills in combinatorial optimization and data science.

Artificial Intelligence (AI)DeliveryE-CommerceFoundational AIRetail
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H1B Sponsor Likelynote

Responsibilities

Developing and improving our last-mile experience, with emphasis on algorithmic and analytical work
Design, implement, and evaluate state-of-the-art solutions to large-scale optimization problems
Play an integral role in the network planning, modeling, and analysis that will improve the efficiency and cost effectiveness of global fulfillment operations
Identify and evaluate opportunities to reduce variable costs by improving the transportation network topology, inventory placement, transportation operations and scheduling, fulfillment center processes, and the execution to operational plans
Improve the efficiency of capital investment by helping plan the location and deployment of fixed assets
Create the metrics to quantify improvements to the fulfillment costs (e.g., transportation and labor costs) resulting from the application of these optimization models and tools

Qualification

Machine LearningCombinatorial OptimizationAlgorithmsProgramming LanguagesModeling Tools

Required

3+ years of building machine learning models or developing algorithms for business application experience
PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field, or Master's degree and 10+ years of industry or academic research experience
Knowledge of programming languages such as C/C++, Python, Java or Perl

Preferred

Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy etc
Experience in applied research

Benefits

A full range of medical, financial, and/or other benefits

Company

Amazon is a tech firm with a focus on e-commerce, cloud computing, digital streaming, and artificial intelligence.

H1B Sponsorship

Amazon has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22803)
2024 (21175)
2023 (19057)
2022 (24088)
2021 (12233)
2020 (14881)

Funding

Current Stage
Public Company
Total Funding
$8.11B
Key Investors
AmazonKleiner Perkins
2023-01-03Post Ipo Debt· $8B
2001-07-24Post Ipo Equity· $100M
1997-05-15IPO

Leadership Team

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Douglas J. Herrington
CEO, Worldwide Amazon Stores
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Werner Vogels
VP & CTO
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Company data provided by crunchbase