Career Center

At Amazon, we are constantly inventing and re-inventing to be the most associate-centric company in the world. To get there, we need exceptionally talented, bright, and driven people. Amazon is one of the most recognizable brand names in the world and we distribute millions of products each year to our loyal customers.

The GSF (Global Specialty Fulfillment) organization leads the innovation of Amazon’s ultra-fast fulfillment initiatives. Our key vision is to transform the online experience. We’re growing in scale and volume, by orders of magnitude. We are a team of passionate tech builders who work endlessly to make life better for our associates through amazing, thoughtful, and creative new scheduling experiences. To succeed, we need senior technical leaders to forge a path into the future by building innovative, maintainable, and scalable systems.

The ideal candidate will be responsible for quantitative data analysis, building models and prototypes for supply chain systems, and developing state-of-the-art optimization algorithms to scale. This team plays a significant role in various stages of the innovation pipeline from identifying business needs, developing new algorithms, prototyping/simulation, to implementation by working closely with colleagues in engineering, product management, operations, retail and finance.

As a member of the scientist team, you will play an integral part on our Supply Chain team with the following technical and leadership responsibilities:
· Interact with engineering, operations, science and business teams to develop an understanding and domain knowledge of processes, system structures, and business requirements
· Apply domain knowledge and business judgment to identify opportunities and quantify the impact aligning research direction to business requirements and make the right judgment on research project prioritization
· Develop scalable mathematical models to derive optimal or near-optimal solutions to existing and new supply chain challenges
· Create prototypes and simulations to test devised solutions
· Advocate technical solutions to business stakeholders, engineering teams, as well as executive-level decision makers
· Work closely with engineers to integrate prototypes into production system
· Create policy evaluation methods to track the actual performance of devised solutions in production systems, identify areas with potential for improvement and work with internal teams to improve the solution with new features
· Mentor team members for their career development and growth
· Present business cases and document models, analyses, and their results in order to influence important decisions