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Senior Supply Chain Optimization Scientist

4 weeks ago

London, Greater London, United Kingdom Amazon UK Services Ltd. Full time

We are seeking a Senior Supply Chain Optimization Scientist to join our team at Amazon UK Services Ltd. in a challenging role that requires deep analytical skills and a strong scientific background.

The ideal candidate will have experience working as a Data Scientist and will be able to design and develop mathematical models to optimize inventory placement and product flows. They will also be able to consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.

The role involves working in a fast-paced environment that requires the ability to influence across business functions at different levels. The successful candidate will need to be able to communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.

Key Responsibilities:

  • Design and develop mathematical models to optimize inventory placement and product flows.
  • Design and develop statistical and optimization models for planning Supply Chain under uncertainty.
  • Manage several, high impact projects simultaneously.
  • Consult and collaborate with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.
  • Communicate data-driven insights and recommendations to diverse senior stakeholders through technical and/or business papers.

BASIC QUALIFICATIONS:

  • Experience working as a Data Scientist.
  • Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab).
  • Experience documenting modeling for technical and business leaders.
  • Experience working with data engineers and business intelligence engineers collaboratively.
  • Experience working with scientists, economists, software developers, or product managers.
  • Practical experience in several of the following areas: Linear Programming, Dynamic Programming, Stochastic Optimization, Robust Optimization, Black Box Optimization, Machine Learning.

PREFERRED QUALIFICATIONS:

  • Experience in forecasting analyses.
  • Knowledge of AWS tech stack (e.g., AWS Redshift, S3, EC2, Glue).
  • Experience in a ML or data scientist role with a large technology company.
  • Experience in Supply Chain Optimization.