Data Scientist, network planning optimization world wide, Supply Chain Optimization Technology in London

Data Scientist, network planning optimization world wide, Supply Chain Optimization Technology in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Amazon Science

At a Glance

  • Tasks: Design and develop models to optimise inventory and product flows in the supply chain.
  • Company: Join Amazon, a leader in e-commerce and innovation.
  • Benefits: Competitive salary, diverse work culture, and opportunities for growth.
  • Other info: Collaborative environment with a focus on diversity and inclusion.
  • Why this job: Make a real impact on global supply chain efficiency and customer satisfaction.
  • Qualifications: Experience with data scripting languages and statistical models required.

The predicted salary is between 60000 - 80000 £ per year.

Have you ever ordered a product on Amazon and when that box with the smile arrived you wondered how it got to you so fast? Have you wondered where it came from and how much it cost Amazon to deliver it to you?

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.
  • Leverage LLMs to improve explainability of our optimization solutions and drive engagement from supply chain planners across the world.

Basic Qualifications

  • Experience with data scripting languages (e.g., SQL, Python, R, or equivalent) or statistical/mathematical software (e.g., R, SAS, Matlab, or equivalent).
  • Experience working as a Data Scientist.
  • Experience with statistical models e.g. multinomial logistic regression.
  • Experience working with data engineers and business intelligence engineers collaboratively.

Preferred Qualifications

  • Experience with data visualization using Tableau, Quicksight, or similar tools.
  • Experience managing data pipelines.
  • Experience as a leader and mentor on a data science team.

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon.

If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information.

Data Scientist, network planning optimization world wide, Supply Chain Optimization Technology in London employer: Amazon Science

At Amazon, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Scientist in our Supply Chain Optimization Technology team, you'll have the opportunity to work on high-impact projects that directly influence our global operations, while benefiting from extensive professional development resources and a commitment to diversity and inclusion. Our vibrant workplace encourages creativity and provides the tools you need to thrive, making it an ideal environment for those looking to make a meaningful impact.

Amazon Science

Contact Details:

Amazon Science Recruitment Team

We think you need these skills to ace Data Scientist, network planning optimization world wide, Supply Chain Optimization Technology in London

Mathematical Modelling
Statistical Modelling
Data Scripting Languages (SQL, Python, R)
Statistical Software (R, SAS, Matlab)
Multinomial Logistic Regression
Data Visualization (Tableau, Quicksight)
Data Pipeline Management