Job Description

Research Scientist, Fulfillment By Amazon (FBA) Science (Level 5), FBA Science

Job ID: 2750388 | Amazon.com Services LLC

The Fulfillment by Amazon (FBA) and Supply Chain by Amazon (SCA) empower third-party sellers worldwide 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. 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.
5. Driving cost efficiencies across the 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.

A Day in the Life

As a scientist on the team, you will be involved with every aspect of the process—from idea generation, business analysis, and scientific research to development and deployment of advanced models—granting you a profound sense of ownership. Your solutions have the potential to drive billions of dollars in impact for Amazon's third-party seller business. From day one, you will collaborate with experienced scientists, engineers, and product managers who are passionate about their work. Additionally, you will engage with Amazon's broader decision and research science community, enriching your perspective and mentoring fellow engineers and scientists.

BASIC QUALIFICATIONS

• 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.
• Fluency in using mathematical optimization or machine learning to develop solution methods for 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.

PREFERRED QUALIFICATIONS

• 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.
• Proven ability to work effectively in a cross-functional team.

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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