Amazon

DESCRIPTION

Are you up to the task of delivering innovative solutions that manages a supply chain of millions of unique products involving hundreds of thousands of suppliers and tens of millions of customers around the world? Amazon’s Optimal Sourcing System (OSS) Science team is looking for Research Scientist to build Amazon’s next generation of inventory planning and supply chain solutions to automate and optimize the decisions at scale. Our goals are to increase reliable access to supply, improve supply chain-driven vendor experience, and reduce end-to-end supply chain costs, all in service of maximizing Long-Term Free Cash Flow for Amazon. As a Research Scientist, you will work with software engineers, product managers, and business teams to understand the business problems and requirements, distill that understanding to crisply define the problem, and design and develop innovative solutions to address them. Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including optimization, causal inference, and machine learning/deep learning. Some critical research areas in our space include identify and optimizing the supply chain strategy with different suppliers, vendors' behavior and incentives, vendor inbound flow planning and controls.

Key job responsibilities

As a member of the OSS science team, you will play an integral part in Amazon's vendor sourcing strategy recommendation and management with the following technical and leadership responsibilities:

• Develop and prototype solutions for large scale ambiguous problems
• Set an example for other scientists with exemplary scientific analyses; and simple, intuitive, and effective solutions.
• Influence team business and engineering decisions and strategies.
• Communicate clearly and effectively with stakeholders to drive alignment and build consensus on key initiatives.
• Foster collaborations between scientists across Amazon researching similar or related problems.
• Actively engage in the development of others, both within and outside the team.
• Engage with the broader scientific community through presentations, publications, and patents.

BASIC QUALIFICATIONS

• PhD in operations research, applied mathematics, theoretical computer science, or equivalent
• Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
• Knowledge of programming languages such as C/C++, Python, Java or Perl to prototype the research ideas

PREFERRED QUALIFICATIONS

• Research: Preferred research areas includes inventory optimization, supply chain management, and reinforcement learning. Other relevant areas of research are revenue management, pricing optimization, forecasting, applications of stochastic and approximate dynamic programming, applications of game theory to Supply chain management, decision analysis, system dynamics, and econometrics.
• Have successful experience of applying hybrid techniques in the space of Machine Learning and Operations Research

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 $136,000/year in our lowest geographic market up to $212,800/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.