Data Scientist, Machine Learning Engineer

hace 2 días


Barcelona, Barcelona, España Amazon A tiempo completo

About Amazon Transportation Services

Amazon Transportation Services (ATS) is responsible for delivering packages to customers worldwide. As a key member of the ATS team, you will focus on developing and researching machine learning solutions and algorithms for core planning systems, impacting the future of the Amazon delivery network.

Job Description

We are seeking an Applied Scientist with a strong academic background in machine learning, time series forecasting, and/or optimization. Your primary responsibility will be to design and develop innovative machine learning solutions to improve transportation efficiency, reduce costs, and enhance customer experience.

Key Responsibilities

  • Develop and deploy machine learning models for predicting demand, optimizing routes, and improving delivery times
  • Collaborate with cross-functional teams to integrate machine learning solutions into existing systems
  • Design and implement experiments to evaluate model performance and identify areas for improvement
  • Stay up-to-date with the latest advancements in machine learning and apply them to real-world problems

Requirements

To succeed in this role, you should have:

  • A PhD or Master's degree in Computer Science, Engineering, or a related field
  • Experience in building models for business applications
  • Expertise in programming languages such as Java, C++, or Python
  • Familiarity with Unix/Linux environments and distributed computing

What We Offer

As a Data Scientist at Amazon, you can expect a competitive salary range of $140,000-$200,000 per year, depending on your location and experience. Additionally, you will receive comprehensive benefits, including medical, dental, and vision coverage, 401(k) matching, and opportunities for professional growth and development.

Why Join Us?

At Amazon, we strive to create a workplace that values diversity, equity, and inclusion. We believe that our differences are what make us stronger and more innovative. If you're passionate about machine learning, data science, and making a meaningful impact, join us and become part of a talented community that is shaping the future of transportation and logistics.


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