Manager Iii, Data Science - Amz9749732

Amazon Amazon · Big Tech · Seattle, WA · Corporate Operations

Manager of Data Science at AWS responsible for overseeing a team that builds large-scale distributed systems for abuse detection. The role involves defining business goals, aggregating data, managing research vision, mentoring scientists, and ensuring successful integration of AI models into production. Requires experience in managing data science teams, cross-functional projects, ML techniques, generative AI, foundation models, MLOps, and production deployment of AI systems.

What you'd actually do

  1. Oversee a team of data scientists and business analysts working to build largescale, distributed systems to increase effectiveness of Amazon’s abuse detection systems.
  2. Define key business goals.
  3. Aggregate data from multiple sources to inform decision making.
  4. Manage and quantify improvement in customer experience resulting from research outcomes.
  5. Develop and manage a long-term research vision and portfolio of research initiatives, with algorithms and models that have been successfully integrated into production systems.

Skills

Required

  • Master’s degree or foreign equivalent degree in Computer Science, Mathematics, Machine Learning, Statistics, Economics, or a related field and three years of experience in the job offered or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Computer Science, Mathematics, Machine Learning, Statistics, Economics, or a related field and five years of experience in the job offered or a related occupation as equivalent to the Master's degree and three years of experience.
  • managing data scientists or machine learning scientists
  • managing cross‐functional projects
  • working with machine learning techniques, generative AI, foundation models data mining, and data visualization, data infrastructure, and big data technologies
  • experience with machine learning operations and production deployment of Artificial Intelligence (AI) systems
  • utilizing R, MATLAB, Python or similar scripting languages

What the JD emphasized

  • production deployment of Artificial Intelligence (AI) systems
  • managing data scientists or machine learning scientists
  • working with machine learning techniques, generative AI, foundation models data mining, and data visualization, data infrastructure, and big data technologies
  • experience with machine learning operations

Other signals

  • building large-scale distributed systems
  • abuse detection systems
  • integrating algorithms and models into production systems
  • managing data scientists and machine learning scientists
  • production deployment of AI systems