[PART_TIME Remote] Principal Applied Scientist, Amazon Private
Thrive in a culture of innovation and teamwork. We're hiring a Principal Applied Scientist, Amazon Private Brands! Based in our vibrant Remote office, this role is available now. This position requires a strong and diverse skillset in relevant areas to drive success. The salary for this position is set at a competitive salary. Â Â Principal Applied Scientist, Amazon Private Brands
Job ID: 2813429 | Amazon.com Services LLC - A57
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.
BASIC 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
PREFERRED QUALIFICATIONS
 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.
 Professional traits necessary for Amazon leaders, including excellent judgment; maintaining relentlessly high standards; thinking strategically while staying on top of tactical execution; expecting innovation from collaborators; thinking big; having convictions; being results oriented; and inspiring passion in others about learning, research, and implementation.
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.
#J-18808-Ljbffr Apply Job! Ready for an Easy Start?This is a low-stress role with great rewards. If you're reliable and willing to learn, we want you. Apply now!
Apply Now
Job ID: 2813429 | Amazon.com Services LLC - A57
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.
BASIC 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
PREFERRED QUALIFICATIONS
 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.
 Professional traits necessary for Amazon leaders, including excellent judgment; maintaining relentlessly high standards; thinking strategically while staying on top of tactical execution; expecting innovation from collaborators; thinking big; having convictions; being results oriented; and inspiring passion in others about learning, research, and implementation.
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.
#J-18808-Ljbffr Apply Job! Ready for an Easy Start?This is a low-stress role with great rewards. If you're reliable and willing to learn, we want you. Apply now!
Apply Now