Lead Applied Scientist, Global Supply Chain Optimization

2 weeks ago


Tempe, Arizona, United States Amazon Full time
Position Overview

As a Senior Data Scientist specializing in Global Logistics, you will play a pivotal role in enhancing our international supply chain processes through innovative forecasting methodologies and advanced simulations.

Your primary objective will be to facilitate informed, data-driven decisions that enhance the efficiency and reliability of our global logistics operations.

Key Responsibilities

  • Develop and implement sophisticated forecasting models to optimize supply chain dynamics.
  • Utilize Amazon Web Services to conduct research and formulate critical questions regarding supply chain efficiency.
  • Engage with the Amazon analytics community, providing mentorship to data scientists and business intelligence engineers focused on supply chain optimization.
  • Measure the impact of your work using rigorous quantitative analysis to ensure improvements in global operations.

Qualifications

We are seeking a dedicated and skilled applied scientist with:

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

Preferred Skills

Ideal candidates will also have:

  • Familiarity with modeling tools like R, scikit-learn, and TensorFlow.
  • Experience in large-scale distributed systems such as Hadoop or Spark.
  • A passion for leveraging unique backgrounds and experiences to drive impactful results.

Benefits

Amazon offers a comprehensive benefits package, which may include:

  • Medical, Dental, and Vision Coverage
  • Maternity and Parental Leave Options
  • Paid Time Off (PTO)
  • 401(k) Plan

Join us in making a significant impact on our global logistics operations.



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