Job ID: 2750388 | Amazon.com Services LLC
The Fulfillment by Amazon (FBA) and Supply Chain by Amazon (SCA) empower third-party sellers world-wide to use Amazon's cutting-edge logistics, warehousing, distribution, fulfillment, and transportation services. These services ensure products remain in stock, customer orders are fulfilled fast and reliably, while end-to-end supply chain costs are reduced. As a result, sellers can focus less on supply chain management and more on developing outstanding products, delighting customers, and scaling their businesses. The FBA team is looking for a passionate, curious, and creative Research Scientist with expertise in operations research, machine learning or statistics, preferably with a focus on pricing and market design, and a proven record of solving business problems through scalable modeling and analytical skills. As a research scientist in the team, you will be responsible for designing and implementing cutting edge optimization and ML models, building automated inventory, logistics, capacity and revenue management systems while collaborating with business and software teams to solve key challenges facing the worldwide FBA business. Such challenges include 1) designing end-to-end supply and demand management systems, 2) developing and improving optimization and ML models to support FBA sellers in growing their businesses, 3) creating decision-support tools that minimize the cognitive burden on sellers in navigating supply chain and operational complexities, 4) ensuring worldwide Amazon customers have access to the broadest selection of products from FBA sellers, and 5) driving cost efficiencies across end-to-end FBA supply chain. Unlike many companies that purchase off-the-shelf planning systems, we design and build custom solutions to suit Amazon's unique needs. Our team members are at the forefront of supply chain innovation, tackling some of the industry's most challenging problems alongside top product managers, research scientists, statisticians, economists, and software developers. We value individuals who exhibit deep technical proficiency, a desire for learning new areas, and a track record of delivering tangible results while fostering personal growth, team development, and career advancement.
A day in the life- PhD, or Master's degree and 4+ years of quantitative field research experience
- Experience investigating the feasibility of applying scientific principles and concepts to business problems and products
- Ph.D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.
- 2+ years of experience in solving complex problems in the area of operations research, statistics or machine learning, as well as in developing strategies for large-scale supply chain, transportation and logistics networks.
- Ability to perform quantitative, economic, and numerical analyses of large-scale systems under uncertainty using statistical and optimization tools such as Python, R and XPRESS to determine solution strategies for complex decision-making problems.
- Fluency in using mathematical optimization or machine learning to develop solution methods to be used by in-house decision support tools and software.
- Proficiency working with Python, SQL and/or C/C++.
- Excellent written and verbal communication skills while addressing both technical and business people, ability to speak at a level appropriate for the audience, and skills to present business cases, and document models, analyses, and results to influence important decisions.
- 2+ years of hands-on experience in using models to solve complex real-world business problems.
- Experience in supply chains, transportation and logistics models.
- Significant peer-reviewed scientific contributions in premier journals and conferences.
- Programming experience using at least one modern programming language such as Python, Java, or C++.
- Proficiency in development, validation and implementation optimization or machine learning models for large-scale applications.
- Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts.
- Proven ability to work effectively in a cross-functional team.
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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.
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