Description The Everyday Essentials team at Amazon is looking for an experienced and highly motivated Applied Scientist to solve complex problems around improving the profitability of Everyday Essential items offered through Amazon.com. These initiatives will enhance how Amazon connects customers with local inventory, creating a more efficient shopping experience with faster delivery options for customers and lower operational costs for Amazon. The initiatives will improve Amazon’s retail operations by reducing the cost of delivering to customers and providing them with relevant and locally available purchase options at faster speeds. The Applied Scientist will determine which products benefit most from regional availability by analyzing customer preferences and supply chain conditions. Key job responsibilities * Scale optimization techniques to drive business value * Design A/B tests and conduct statistical analysis on their results * Work with distributed machine learning and statistical algorithms to harness enormous volumes of data at scale to serve our customers * Present and publish science research, contributing to Amazon's science community * Mentor junior engineers and scientists * Work closely with internal stakeholders including business teams, engineering teams, and partner teams to align them with your focus area About the team Our team is highly cross-functional and employs a wide array of scientific tools and techniques to solve key challenges, including supervised and unsupervised machine learning, non-convex optimization, causal inference, natural language processing, linear programming, reinforcement learning, and other forecast algorithms. Some critical research areas in our space include modeling substitutability between similar products, incorporating basket awareness and complementarity-aware logic, measuring speed sensitivity of products, modeling network capacity constraints, and supply and demand forecasting. Basic Qualifications - 2+ years of building models for business application experience - PhD, or Master's degree and 4+ years of building models for business application experience - Experience programming in Java, C++, Python or related language - Experience in state-of-the-art deep learning models architecture design and deep learning training and optimization and model pruning Preferred Qualifications - Experience using Unix/Linux - Experience in professional software development Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. 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, including support for the interview or onboarding 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $136,000/year in our lowest geographic market up to $223,400/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 https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.