Amazon
Sr. Applied Scientist, Amazon Business
Amazon, Seattle, Washington, us, 98127
Come be a part of a rapidly expanding $35 billion-dollar global business. At Amazon Business, we set out every day to innovate and disrupt the status quo. We stand at the intersection of tech and retail in the B2B space developing innovative purchasing and procurement solutions to help businesses and organizations re-imagine buying. Bring your insight, imagination, and a healthy disregard for the impossible. Join us in building and celebrating the value of Amazon Business to buyers and sellers of all sizes, unlocking our potential worldwide.
Amazon Business Supplier Experience Science team is looking for a Sr. Applied Scientist to excel at product and service pricing, selection, forecast, and optimization. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting, selection additions, and operations optimization. Amazon Business is a fast-growing business sector. We need leaders who can think big and drive big vision into reality. Please come to work with us if you are result-driven, think big, and want to have fun and make history.
You will build the science models and the supporting structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross-functional team partners to drive improvements. You will work closely with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers, and Business Partners to solve challenging problems. You need to be comfortable using intellect, curiosity, and technical ability to develop innovative solutions to business problems. You need to learn different aspects of the business and understand how to apply science and analytics to solve high impact business problems. You will be expected to provide clear and concise explanations of results and approaches as well as provide opinion and guidance on problem solving.
Key Job Responsibilities
Contribute to supplier operations strategy development based on science models and data analysis.Develop models to measure long-term impact of seller behaviors.Collaborate with product and engineering teams both within and outside of AB to launch selection and operations systems based on science and data.Use optimization, statistical, machine learning, and analytical techniques to create scalable solutions for business problems.Design, develop, and evaluate highly innovative models for forecast, optimization, and experimentation.Work and collaborate effectively with product managers and software engineering teams to build algorithms and models and integrate successful models and algorithms in production systems.Contribute to Amazon's Intellectual Property through patents and internal and external publications.
A day in the life: The scientist will develop, enhance, automate, and manage science models from end to end. The scientist will also have the opportunity to present findings to cross-functional team partners to drive improvements. The scientist will work with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers, and Business Partners to build analytical and science models. The scientist will be expected to provide clear and concise explanations of results and approaches as well as provide opinion and guidance on problem solving.
About the Team
Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting and selection additions.
Minimum Qualifications
3+ years of building machine learning models for business application experience.PhD, or Master's degree and 6+ years of applied research experience.Experience programming in Java, C++, Python, or related language.Experience with neural deep learning methods and machine learning.Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.Experience with large scale distributed systems such as Hadoop, Spark, etc.
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. For individuals with disabilities who would like to request an accommodation, please visit
this link .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
this link . This position will remain posted until filled. Applicants should apply via our internal or external career site.
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Amazon Business Supplier Experience Science team is looking for a Sr. Applied Scientist to excel at product and service pricing, selection, forecast, and optimization. Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting, selection additions, and operations optimization. Amazon Business is a fast-growing business sector. We need leaders who can think big and drive big vision into reality. Please come to work with us if you are result-driven, think big, and want to have fun and make history.
You will build the science models and the supporting structures needed to analyze, dive deep, and innovate the pricing strategies. You will also have the opportunity to present findings to cross-functional team partners to drive improvements. You will work closely with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers, and Business Partners to solve challenging problems. You need to be comfortable using intellect, curiosity, and technical ability to develop innovative solutions to business problems. You need to learn different aspects of the business and understand how to apply science and analytics to solve high impact business problems. You will be expected to provide clear and concise explanations of results and approaches as well as provide opinion and guidance on problem solving.
Key Job Responsibilities
Contribute to supplier operations strategy development based on science models and data analysis.Develop models to measure long-term impact of seller behaviors.Collaborate with product and engineering teams both within and outside of AB to launch selection and operations systems based on science and data.Use optimization, statistical, machine learning, and analytical techniques to create scalable solutions for business problems.Design, develop, and evaluate highly innovative models for forecast, optimization, and experimentation.Work and collaborate effectively with product managers and software engineering teams to build algorithms and models and integrate successful models and algorithms in production systems.Contribute to Amazon's Intellectual Property through patents and internal and external publications.
A day in the life: The scientist will develop, enhance, automate, and manage science models from end to end. The scientist will also have the opportunity to present findings to cross-functional team partners to drive improvements. The scientist will work with other Applied/Research/Data Scientists, Economists, Data Engineers, Software Development Engineers, Program Managers, and Business Partners to build analytical and science models. The scientist will be expected to provide clear and concise explanations of results and approaches as well as provide opinion and guidance on problem solving.
About the Team
Amazon Business (AB) represents an incredible opportunity to address a vast new market segment and customer base for Amazon. We are focused on building solutions that enable B2B customers to find, research, and buy products and services across multiple devices and marketplaces. The Amazon Business Science team owns the science and analytics for key AB problems including price setting and selection additions.
Minimum Qualifications
3+ years of building machine learning models for business application experience.PhD, or Master's degree and 6+ years of applied research experience.Experience programming in Java, C++, Python, or related language.Experience with neural deep learning methods and machine learning.Experience with modeling tools such as R, scikit-learn, Spark MLLib, MxNet, Tensorflow, numpy, scipy, etc.Experience with large scale distributed systems such as Hadoop, Spark, etc.
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. For individuals with disabilities who would like to request an accommodation, please visit
this link .
Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $150,400/year in our lowest geographic market up to $260,000/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. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit
this link . This position will remain posted until filled. Applicants should apply via our internal or external career site.
#J-18808-Ljbffr