Data Science Innovator

hace 3 semanas


Madrid, Madrid, España Amazon A tiempo completo
Job Overview

We are seeking a highly skilled Data Science Innovator to join our team at Amazon. As a key member of our organization, you will be responsible for developing and deploying large-scale machine learning and deep learning models into production.

About the Role

In this role, you will:

  • Design and develop scalable machine learning solutions using AWS services such as SageMaker and EMR.
  • Collaborate with data scientists and engineers to create and fine-tune machine learning models for business problems.
  • Analyze and extract relevant information from large amounts of historical data to automate and optimize key processes.
  • Work closely with science and engineering teams to drive model implementations and new algorithms.
Requirements

To be successful in this role, you will need:

  • 3+ years of non-internship professional software development experience.
  • Experience programming with at least one software programming language.
  • Bachelor's degree in computer science or equivalent.
  • 2+ years of relevant experience in developing and deploying large scale machine learning or deep learning models and/or systems into production.
Preferred Qualifications

While not required, we prefer candidates with:

  • Masters or PhD degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field.
  • Practical experience in solving complex problems in an applied environment.
  • Experiences related to AWS services such as SageMaker, EMR, S3, DynamoDB and EC2.
Compensation and Benefits

We offer a competitive compensation package, including:

  • A base salary range of $129,300 - $223,600 per year, depending on location and experience.
  • A comprehensive benefits program, including medical, dental, and vision coverage, paid time off, and 401(k) plan.
Why Join Amazon?

At Amazon, we value innovation, collaboration, and customer obsession. We strive to create a diverse and inclusive work environment that fosters growth and learning. If you are passionate about data science and want to make a meaningful impact, please apply.



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