Applied Scientist II, Flex Delivery Planning Science Team

Who you are

You have a strong background in optimization and operations research, with experience in developing mathematical models to solve complex scheduling problems. Your expertise in Python allows you to implement algorithms and analyze data effectively, ensuring that delivery processes are efficient and cost-effective. You are comfortable with ambiguity and thrive in fast-paced environments, demonstrating strong attention to detail in your work.

You possess a solid understanding of mixed integer programming, dynamic programming, and decomposition methods, which you have applied in previous roles to optimize logistics and resource allocation. A background in control theory and economics is beneficial, as it enhances your ability to understand the broader implications of your work on business operations.

You are a self-starter who enjoys collaborating with cross-functional teams, including engineering and data analysis, to drive improvements in delivery systems. Your analytical mindset enables you to collect and interpret data, leading to informed decision-making and innovative solutions.

Desirable

Experience with machine learning techniques is a plus, as it can complement your optimization skills and enhance the predictive capabilities of delivery planning systems. Familiarity with dynamic pricing and smart offer targeting will also be advantageous in this role.

What you'll do

In this role, you will design and develop advanced mathematical models to optimize driver scheduling and capacity planning for Amazon's Flex Delivery platform. You will analyze demand and supply uncertainties, working to minimize costs while ensuring timely deliveries. Your contributions will directly impact the efficiency of the delivery process, helping to shape the overall business strategy.

You will collaborate closely with other scientists and engineers to integrate your models with existing systems, focusing on routing, assignment, and dynamic pricing strategies. Your work will involve continuous improvement of algorithms and processes, adapting to changing conditions and requirements in the delivery landscape.

You will also be responsible for conducting data collection and analysis to support your optimization efforts, ensuring that your models are based on accurate and relevant information. Your ability to communicate complex concepts clearly will be essential as you present your findings and recommendations to stakeholders.

What we offer

Amazon offers a competitive compensation package, including salary, equity, and sign-on bonuses, along with a comprehensive range of medical and financial benefits. You will have the opportunity to work in a collaborative environment that values innovation and encourages professional growth. Join us in shaping the future of delivery logistics and making a significant impact on the way Amazon serves its customers.