Amazon
Principal Applied Scientist, Amazon Private Brands
Amazon, Sunnyvale, California, United States, 94087
Principal Applied Scientist, Amazon Private Brands
Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.
The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.
As a Principal Applied Scientist you will invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include entity resolution, generative AI, large language models, and product substitutes. You will review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and prototypes.
This is a unique, high visibility opportunity for someone who wants to develop cutting edge science solutions and have direct business and customer impact.
Key job responsibilities Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions. Invent novel science solutions and develop prototypes to solve business problems. Review and guide science solutions across the team. Publish and socialize your and the team's research across Amazon and external avenues as appropriate. Leverage industry best practices to establish repeatable applied science practices, principles & processes. Minimum Qualifications Ph.D. degree in Statistics, Computer Science, Applied Math, Machine Learning, or a related field. 7+ years of hands-on experience in solving difficult machine learning problems. Experience in patents or publications at top-tier peer-reviewed conferences or journals. Expert at more than one major programming language (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar). Demonstrated ability to serve as a technical lead. Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions. Strong fundamentals in problem solving, algorithm design and complexity analysis. Proven track in leading, mentoring, and growing teams of scientists. Deep technical knowledge of machine learning and statistical methodologies. Experience with deep learning toolkits and frameworks. Solid software development experience. Algorithm and model development experience for large-scale applications. Experience with defining research and development practices in an applied environment. Excellent communication skills, both written and oral, with technical and business people. 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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Join our Amazon Private Brands Selection Guidance organization in building science and tech solutions at scale to delight our customers with products across our leading private brands such as Amazon Basics, Amazon Essentials, and by Amazon.
The Selection Guidance team applies Generative AI, Machine Learning, Statistics, and Economics solutions to drive our private brands product assortment, strategic business decisions, and product inputs such as title, price, merchandising and ordering. We are an interdisciplinary team of Scientists, Economists, Engineers, and Product Managers incubating and building day one solutions using cutting-edge technology, to solve some of the toughest business problems at Amazon.
As a Principal Applied Scientist you will invent novel solutions and prototypes, and directly contribute to bringing your ideas to life through production implementation. Current research areas include entity resolution, generative AI, large language models, and product substitutes. You will review and guide scientists across the team on their designs and implementations, and raise the team bar for science research and prototypes.
This is a unique, high visibility opportunity for someone who wants to develop cutting edge science solutions and have direct business and customer impact.
Key job responsibilities Partner with business stakeholders to deeply understand APB business problems and frame ambiguous business problems as science problems and solutions. Invent novel science solutions and develop prototypes to solve business problems. Review and guide science solutions across the team. Publish and socialize your and the team's research across Amazon and external avenues as appropriate. Leverage industry best practices to establish repeatable applied science practices, principles & processes. Minimum Qualifications Ph.D. degree in Statistics, Computer Science, Applied Math, Machine Learning, or a related field. 7+ years of hands-on experience in solving difficult machine learning problems. Experience in patents or publications at top-tier peer-reviewed conferences or journals. Expert at more than one major programming language (C++, Java, or similar) and at least one scripting language (Perl, Python, or similar). Demonstrated ability to serve as a technical lead. Excellent writing skills for presenting business cases and scientific models with rigorous analyses that support results/conclusions to influence important decisions. Strong fundamentals in problem solving, algorithm design and complexity analysis. Proven track in leading, mentoring, and growing teams of scientists. Deep technical knowledge of machine learning and statistical methodologies. Experience with deep learning toolkits and frameworks. Solid software development experience. Algorithm and model development experience for large-scale applications. Experience with defining research and development practices in an applied environment. Excellent communication skills, both written and oral, with technical and business people. 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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