Senior Scientist, Logistics Optimization

2 weeks ago


Tempe, Arizona, United States Amazon Full time
Position Overview

As a Senior Scientist in Applied Research within our Global Logistics team, you will play a pivotal role in enhancing our supply chain operations through advanced predictive modeling and simulations. Your expertise will contribute to our mission of enabling informed, data-driven decisions that are both aggressive and responsible.

Key Responsibilities

  • Develop and refine forecasting models to optimize international inbound supply chain processes.
  • Utilize cutting-edge technologies and methodologies to build counterfactual simulation models (CSM) that anticipate potential disruptions.
  • Engage with Amazon Web Services to formulate and address research questions related to supply chain dynamics.
  • Collaborate with the analytics community at Amazon, mentoring data scientists and business intelligence engineers focused on supply chain optimization.
  • Measure the impact of your work on global operations using rigorous quantitative analysis.

Qualifications

We are seeking a dedicated and skilled applied scientist with:

  • A PhD or Master's degree coupled with a minimum of 6 years of applied research experience.
  • Proficiency in programming languages such as Java, C++, or Python.
  • Experience with neural networks and machine learning techniques.

Preferred Skills

Ideal candidates will also have:

  • Familiarity with modeling tools like R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, and scipy.
  • Experience in large-scale distributed systems such as Hadoop and Spark.

At Amazon, we value diverse backgrounds and experiences. If you possess a passion for this role and are eager to make a significant impact on a global scale, we encourage you to consider this opportunity.



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