What are the responsibilities and job description for the Director Applied Science, Inbound Systems position at Amazon?
DESCRIPTION
Are you seeking an environment where you can drive innovation? Do you want to be at the forefront of solving the toughest real-world supply chain problems? Do you want to play a key role in the future of Amazon's Stores business? Come and join us!
Supply Chain Optimization Technologies (SCOT) owns Amazon's global inventory planning systems. We decide what, when, where, and how much we should buy to meet Amazon's business goals and to make our customers happy. We decide how to place and move inventory within Amazon's fulfillment network. We do this for hundreds of millions of items and hundreds of product lines worth billions of dollars worldwide. Check our website if you are curious to learn more about the breadth of problems we tackle: https://www.amazon.science/tag/supply-chain-optimization-technologies
We are seeking a Director of Applied Science with expertise in Reinforcement Learning to join our Inbound Systems team. In this role, you will manage a team of scientists tasked with working with buying and placement system owners to test and scale reinforcement learning and artificial intelligence solutions.
BASIC QUALIFICATIONS
- Ph.D. in Operations Research, Computer Science, Applied Mathematics, or a closely related field.
- Ability to manage and quantify improvement in multiple business areas resulting from business analytics, optimization techniques, and/or statistical modeling
- Strong leadership of experienced scientists as well as a successful record of developing junior members from academia/industry to a successful career track in a business environment
- Excellent written and verbal communication skills.
PREFERRED QUALIFICATIONS
- Demonstrated experience to manage an industrial science team for three years or more
- More than 15 years of industrial/academic experience in supply chain management, inventory management, large scale simulation, and mathematical modeling
- Familiarity with inventory planning concepts - forecasting, planning, optimization, and logistics - gained through work experience or graduate level education.
- Expertise in prototyping and scripting languages (R, Perl or Python) with applications of efficient large-scale data analysis in a complicated system
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.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. 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. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $262,500/year in our lowest geographic market up to $350,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.
Salary : $262,500 - $350,000
