Research Scientist – Global Network Planning Optimization

About the role

Amazon is seeking a Research Scientist to design and implement cutting‑edge scientific solutions that optimise our worldwide fulfillment network. You will work across multiple regions (EU, JP, IN and others) to improve customer experience while reducing cost and carbon impact.

Key responsibilities

• Develop advanced optimisation models for network flow planning and execution.
• Collaborate with the global scientific community to define optimal fulfillment strategies.
• Partner with technical teams to build tools that integrate into Amazon’s planning systems.
• Engage business and operational stakeholders to gather requirements and influence strategic decisions.
• Provide mentorship and guidance to junior data‑science team members.

Required profile

• Strong analytical mindset with a solid scientific or research background.
• Excellent communication skills and ability to influence across business functions.
• Detail‑oriented and comfortable working in a fast‑paced, cross‑functional environment.

Required skills

• Proficiency in data scripting languages such as SQL, Python and R.
• Experience with statistical modelling tools (e.g., SAS, Matlab) and techniques like multinomial logistic regression.
• Ability to create visualisations using Tableau or Quicksight.
• Experience managing data pipelines and collaborating with data‑engineers and BI engineers.

What we offer

• Opportunity to impact Amazon’s global supply‑chain strategy.
• Access to world‑class research resources and a collaborative scientific community.
• Competitive compensation and benefits aligned with Amazon’s standards.