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Principal Research Scientist, Modeling and Optimization

Job ID: 1776539 | Amazon.com Services LLC

DESCRIPTION

Job summary
Amazon’s Modeling and Optimization Team is looking for a senior science leader (Principal Research Scientist) to drive the development and optimization of the most complex transportation and fulfillment network in the world.

The team is responsible for optimizing the global transportation and fulfillment network for Amazon.com and ensuring that the company is able to deliver our customers’ products to them as quickly, accurately, and cost effectively as possible. We design the network that delivers packages from fulfillment centers (FCs) to end customers, through both Amazon’s internal network as well as external partners, using ground and air methods. Optimizing these package flows requires designing the structure and operating parameters of the network, optimizing operations such as linehaul movements and sortation scheduling, and making the right capital investments in technology, buildings and equipment. It also requires partnering with peer research and product teams that drive inventory placement, selection, and forecasting, and incorporating information and algorithmic interfaces with those systems.

We are seeking an experienced multi-disciplinary science leader, to lead the science development on projects in both developing algorithmic tools and driving long-term network strategy. In this role, you will work with and advise other research scientists in the team, develop your own scientific approaches, and partner with software and product teams as they deploy algorithmic solutions to our stakeholders. You will also partner with business leaders on projects that evaluate long-term strategic network choices, and present strategy papers to our senior-most leaders to drive long-term impact.

To accomplish this, we expect you to have a strong research background in at least one of the following disciplines: operations research, computer science, operations management, statistics, or applied mathematics. You should also have business domain knowledge in transportation and distribution operations, along with some knowledge of inventory management theory and practice. You should have a strong publication record that demonstrates technical depth as well as consideration of practical aspects in your work. Experience partnering with companies on high-stakes R&D or consulting is a plus, but not a necessity.

BASIC QUALIFICATIONS

• Ph.D. in Operations Research, Industrial Engineering, Management Science, Computer Science, or a related field.
• 10+ years of professional experience, ideally in an academic setting.
• Strong publication record demonstrating technical depth and business applicability/impact.
• Basic skills in working with data using tools such as SQL and Python.
• Demonstrated skills in science leadership, such as advising doctoral students or leading technical centers or institutes.
• Excellent written and verbal communication skills.

PREFERRED QUALIFICATIONS

• Experience in developing and deploying algorithmic solutions for transportation or inventory management problems in practice.
• Experience in consulting with industry partners, in the transportation or inventory management domains.
• Experience in dealing with large amounts of data.
• Fluency in a higher-level programming language such as Java.



Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.