Senior Applied Scientist

hace 4 semanas


Barcelona, Barcelona, España Amazon A tiempo completo
About the Role

We are seeking a highly skilled Senior Applied Scientist to join our JP Economics team at Amazon. As a key member of our team, you will be responsible for building production-grade machine learning models to deliver best-in-class shopping and delivery experiences to millions of customers.

Key Responsibilities
  • Collaborate with Product, Finance, and Engineering teams to formulate business problems into scientific ones.
  • Design and develop large-scale data pipelines for training and evaluating machine learning models using PySpark/SparkSQL.
  • Extensively clean and explore datasets to ensure high-quality data for model training.
  • Train and evaluate machine learning models in a robust manner, using techniques such as hypothesis testing and experiment design.
  • Design and conduct live experiments to validate model performance and inform business decisions.
  • Automate model inference and monitoring on AWS infrastructure.
Requirements
  • PhD or Master's degree in a relevant field, such as computer science, statistics, or economics, with 5+ years of applied research experience.
  • Expertise in machine learning tools and techniques, including R, scikit-learn, Spark MLLib, MxNet, TensorFlow, numpy, and scipy.
  • Strong understanding of statistical analysis and machine learning techniques for tabular data.
  • Experience with large-scale distributed systems, such as Hadoop and Spark.
About Us

At Amazon, we are committed to delivering exceptional customer experiences through innovative solutions and cutting-edge technology. Our JP Economics team is a central science team that works across various topics in the JP Retail business and beyond, driving change at Amazon through data-driven insights and machine learning models.


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