Amazon.com Services LLC
Principal Research Scientist, Fullfilment By Amazon (FBA) Science
Amazon.com Services LLC, Bellevue, Washington, us, 98009
Job Title:
Principal Research Scientist
Ensure all your application information is up to date and in order before applying for this opportunity. Location:
Amazon
Minimum Qualifications:
Ph.D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.
7+ 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 logistic 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, including algorithm design, continuous and discrete optimization, stochastic analysis, supervised and unsupervised machine learning methods, and deep 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.
About the Role: The Fulfillment by Amazon (FBA) and Supply Chain by Amazon (SCA) enable third-party sellers to use Amazon’s world-class science and logistics infrastructure to supply and fulfill customers worldwide with unprecedented fast delivery promise. The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills. As a lead research scientist in the team, you will be responsible for designing and implementing cutting edge optimization and ML models, building automated inventory, logistics and revenue management systems while collaborating with business and software teams to solve key challenges facing the worldwide FBA business.
Responsibilities:
Designing end-to-end supply and demand management systems, ranging from capacity, inventory, and workforce management systems.
Developing and improving optimization and ML models to help FBA sellers grow their business.
Ensuring that worldwide Amazon customers have access to the largest selection of products through FBA sellers.
Driving out costs across end-to-end FBA supply chain.
A Day in the Life: In this pivotal role, you will be a technical leader in operations research or machine learning, with significant scope, impact, and visibility. Your solutions have the potential to drive billions of dollars in impact for Amazon's third-party seller business. You will engage in every facet 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. You will collaborate with experienced scientists, engineers, and product managers who are passionate about their work.
About the Team: Sellers play a vital role in Amazon’s ecosystem, integral to our mission of offering the Earth’s largest selection and lowest prices. FBA is a service that enables third-party sellers to outsource order fulfillment to Amazon, and leverage Amazon’s world-class facilities to provide customers Prime delivery promise. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making.
Preferred Qualifications:
10+ 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.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $170,500/year in our lowest geographic market up to $294,700/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.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Principal Research Scientist
Ensure all your application information is up to date and in order before applying for this opportunity. Location:
Amazon
Minimum Qualifications:
Ph.D. in Operations Research, Machine Learning, Statistics, Computer Science, Applied Mathematics, Operations Management, Industrial Engineering, Economics or a related field.
7+ 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 logistic 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, including algorithm design, continuous and discrete optimization, stochastic analysis, supervised and unsupervised machine learning methods, and deep 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.
About the Role: The Fulfillment by Amazon (FBA) and Supply Chain by Amazon (SCA) enable third-party sellers to use Amazon’s world-class science and logistics infrastructure to supply and fulfill customers worldwide with unprecedented fast delivery promise. The FBA team is looking for a passionate, curious, and creative Principal Research Scientist with expertise in operations research, machine learning or statistics, along with a proven record of solving business problems through scalable modeling and analytical skills. As a lead research scientist in the team, you will be responsible for designing and implementing cutting edge optimization and ML models, building automated inventory, logistics and revenue management systems while collaborating with business and software teams to solve key challenges facing the worldwide FBA business.
Responsibilities:
Designing end-to-end supply and demand management systems, ranging from capacity, inventory, and workforce management systems.
Developing and improving optimization and ML models to help FBA sellers grow their business.
Ensuring that worldwide Amazon customers have access to the largest selection of products through FBA sellers.
Driving out costs across end-to-end FBA supply chain.
A Day in the Life: In this pivotal role, you will be a technical leader in operations research or machine learning, with significant scope, impact, and visibility. Your solutions have the potential to drive billions of dollars in impact for Amazon's third-party seller business. You will engage in every facet 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. You will collaborate with experienced scientists, engineers, and product managers who are passionate about their work.
About the Team: Sellers play a vital role in Amazon’s ecosystem, integral to our mission of offering the Earth’s largest selection and lowest prices. FBA is a service that enables third-party sellers to outsource order fulfillment to Amazon, and leverage Amazon’s world-class facilities to provide customers Prime delivery promise. Our culture is centered on rapid prototyping, rigorous experimentation, and data-driven decision-making.
Preferred Qualifications:
10+ 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.
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 compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $170,500/year in our lowest geographic market up to $294,700/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.
This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr