Amazon
Principal Applied Scientist, Amazon Stores Economics & Science (SEAS)
Amazon, Palo Alto, California, United States, 94306
Overview Principal Applied Scientist, Amazon Stores Economics & Science (SEAS) role at Amazon. Stores Economics and Science (SEAS) is an interdisciplinary science and engineering team in Amazon's Stores organization focused on moving from local to global optima in methods, models, and software. The team scales by solving problems from small concepts to large scalable solutions and collaborates with partner teams across Amazon. In 2024, SEAS focuses on economics and science related to improving delivery speed and lowering cost-to-serve, seller fees and incentives, and emerging machine learning using LLMs. We are looking for a seasoned Applied Science leader to build and deliver cutting-edge science and engineering solutions to improve the Stores business. You will lead a team of scientists and engineers with backgrounds in machine learning, NLP, IR, statistics, and economics to identify bottlenecks, conceive new ideas, and deploy scientific solutions in partnership with product teams. Responsibilities include developing scientific models, benchmarks, and services. Graduate education and hands-on experience in machine learning, optimization, causal inference, Bayesian statistics, deep learning, or other quantitative scientific fields are required. To be successful, you should be a quick learner and comfortable with a high degree of ambiguity.
Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks. Key responsibilities
Lead a team of scientists and engineers to identify bottlenecks in the business and deploy scientific solutions in partnership with product teams. Develop scientific models, benchmarks, and services. Contribute to the design and implementation of scalable analytics and ML systems.
Basic Qualifications
10+ years of building machine learning models for business applications. PhD, or Master’s degree and 10+ years of applied research experience. Experience programming in Java, C++, Python or related languages. Experience with neural deep learning methods and machine learning.
Preferred Qualifications
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.
Additional Information Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base pay for this position ranges from $179,000/year to $309,400/year, depending on location and experience. Amazon is a total compensation company; equity, sign-on payments, and other benefits may be provided. This position will remain posted until filled. Applicants should apply via our internal or external career site. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits.
Company Amazon.com Services LLC
Job ID A2799703
#J-18808-Ljbffr
Scroll down to find the complete details of the job offer, including experience required and associated duties and tasks. Key responsibilities
Lead a team of scientists and engineers to identify bottlenecks in the business and deploy scientific solutions in partnership with product teams. Develop scientific models, benchmarks, and services. Contribute to the design and implementation of scalable analytics and ML systems.
Basic Qualifications
10+ years of building machine learning models for business applications. PhD, or Master’s degree and 10+ years of applied research experience. Experience programming in Java, C++, Python or related languages. Experience with neural deep learning methods and machine learning.
Preferred Qualifications
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.
Additional Information Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base pay for this position ranges from $179,000/year to $309,400/year, depending on location and experience. Amazon is a total compensation company; equity, sign-on payments, and other benefits may be provided. This position will remain posted until filled. Applicants should apply via our internal or external career site. For more information, visit https://www.aboutamazon.com/workplace/employee-benefits.
Company Amazon.com Services LLC
Job ID A2799703
#J-18808-Ljbffr