Sr. Manager, Applied Science, Supply Chain Optimization Technologies

Amazon Amazon · Big Tech · NY +1 · Applied Science

Sr. Manager of Applied Science with expertise in Statistical Machine Learning and/or Reinforcement Learning to drive research, development, and deployment of AI technology for supply chain optimization. The role involves managing a team of scientists, focusing on next-generation solutions for buying, placement, and fulfillment decisions, and translating customer needs into reusable software infrastructure. Key responsibilities include leading innovation in RL applications, building and developing a high-performing team, bridging technical possibilities with business requirements, and driving cross-functional collaboration.

What you'd actually do

  1. Lead technical innovation in reinforcement learning applications for complex supply chain environments, solving unique challenges and ensuring practical implementation in real-world deployments.
  2. Build and develop a high-performing team by fostering collaboration, mentoring top talent, and creating a balanced culture of technical excellence.
  3. Bridge technical possibilities with business requirements by providing strategic judgment, evaluating technology feasibility, and managing implementation risk.
  4. Drive cross-functional collaboration by interfacing with product teams, leadership, and partner organizations to translate business needs into technical solutions.

Skills

Required

  • Ph.D. in Computer Science, Applied Mathematics, Statistics or a closely-related field.
  • Hands-on experience building machine learning or optimization models in a business environment.
  • Demonstrated experience managing a science team for three or more years.
  • Expertise in modern Python with applications of efficient large-scale data processing in complex systems.

Nice to have

  • Ability to manage and quantify improvement in multiple business areas resulting from business analytics, optimization techniques, and/or statistical modeling.
  • Prior experience managing senior scientists as well as a successful record of developing junior members from academia/industry to a successful career track in a business environment.
  • Significant peer-reviewed scientific contributions in premier journals and conferences.
  • Familiarity with inventory planning concepts - forecasting, planning, optimization, and logistics - gained through work experience or graduate level education.
  • Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
  • Proven ability to work effectively in a cross-functional team.

What the JD emphasized

  • expertise in Statistical Machine Learning and/or Reinforcement Learning
  • drive research, development, and deployment of AI technology
  • manage a team of scientists
  • next generation of solutions
  • reinforcement learning applications
  • build and develop a high-performing team
  • technical excellence
  • managing implementation risk
  • cross-functional collaboration

Other signals

  • drive research, development, and deployment of AI technology
  • manage a team of scientists tasked researching the next generation of solutions
  • accelerate ML / RL software adoption through our partnerships and infrastructure
  • Lead technical innovation in reinforcement learning applications for complex supply chain environments
  • build and develop a high-performing team
  • Bridge technical possibilities with business requirements
  • Drive cross-functional collaboration