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Senior Supply Chain Optimization Scientist
1 month ago
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 successful candidate will be responsible for developing cutting-edge scientific solutions to optimize our Pan-European fulfillment strategy, maximize customer experience, and minimize cost and carbon footprint.
You will partner with the worldwide scientific community to help design the optimal fulfillment strategy for Amazon, collaborate with technical teams to develop optimization tools for network flow planning and execution systems, and work with business and operational stakeholders to influence their strategy and gather inputs to solve problems.
To be successful in this role, you will need excellent communication skills, the ability to influence across business functions at different levels, and a strong understanding of mathematical models, statistical and optimization techniques, and data scripting languages.
Key responsibilities will include:
- Designing and developing mathematical models to optimize inventory placement and product flows.
- Designing and developing statistical and optimization models for planning Supply Chain under uncertainty.
- Managing several high-impact projects simultaneously.
- Consulting and collaborating with business and technical stakeholders across multiple teams to define new opportunities to optimize our Supply Chain.
- Communicating 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.
