Sr. Data Scientist, EU S/C, Supply Chain Science

We are looking for a Senior Data Scientist who will be responsible to develop cutting-edge scientific solutions to optimize our Pan-European fulfillment strategy, to maximize our Customer Experience and minimize our cost and carbon footprint.

You will partner with the worldwide scientific community to help design the optimal fulfillment strategy for Amazon. You will also collaborate with technical teams to develop optimization tools for network flow planning and execution systems. Finally, you will also work with business and operational stakeholders to influence their strategy and gather inputs to solve problems.

To be successful in the role, you will need deep analytical skills and a strong scientific background. The role also requires excellent communication skills, and an ability to influence across business functions at different levels.

You will work in a fast-paced environment that requires you to be detail-oriented and comfortable in working with technical, business and technical teams.

Key job 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.

We are open to hiring candidates to work out of one of the following locations:

London, GBR

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

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