Applied Scientist II, Central Machine Learning

About the Role

Do you want to join an innovative team of scientists who use machine learning and statistical techniques to create state-of-the-art solutions for providing better value to Amazon’s customers? Do you want to build and deploy advanced algorithmic systems that help optimize millions of transactions every day? Are you excited by the prospect of analyzing and modeling terabytes of data to solve real world problems? Do you like to own end-to-end business problems/metrics and directly impact the profi…

Key Responsibilities

• 1

  Develop and deploy machine learning models for business problems.

• 2

  Perform exploratory data analysis and feature engineering on large datasets.

• 3

  Evaluate model performance using appropriate metrics and iterate on improvements.

• 4

  Collaborate with product and engineering teams to integrate ML models into production.

• 5

  Monitor model performance and retrain as needed.

• 6

  Write clean, maintainable Python code and document work thoroughly.

• 7

  Stay current with the latest ML research and apply relevant advancements.

Requirements

• Bachelor's/Master's/PhD in Statistics, Mathematics, Computer Science, or related field.
• Strong proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
• Experience with data manipulation tools (Pandas, NumPy, SQL).
• Familiarity with cloud ML platforms (SageMaker, Vertex AI, Azure ML).
• Good understanding of statistical modelling and experimental design.
• Strong analytical and communication skills.

Skills Required

How The Selection Process Works

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