Description Do you want to lead radical innovation that creates value for millions of Amazon customers? Do you want to operate in a green field space that takes on challenging problems to provide best in class solutions for our customers worldwide? If so, you are in the right place! ARCADE Science and Analytics team (support MCF and BwP business) is seeking a highly motivated Sr. Data Scientist to solve innovative problems through advanced analytics and machine learning solutions. We are looking for an experienced Sr. Data Scientist to tackle complex data challenges that span numerous systems and organizations. The scope includes identifying new business opportunities through data-driven insights, predictive modeling, and deep analysis of supply chain patterns and customer behaviors. The ideal candidate is a strong technical leader who can build and deploy sophisticated machine learning models while effectively collaborating with cross-functional teams. You will possess extensive experience in statistical analysis, machine learning, and data visualization, preferably with applications in eCommerce, transportation, finance, retail technology, or logistics. The role requires both deep technical expertise in data science and machine learning, as well as business acumen to understand how analytics can drive business value. If you're passionate about building large-scale machine learning systems and working with Amazon-scale data to optimize complex systems - then this is the job for you. Experience with Python, R, SQL, and common ML frameworks is essential. Come work with our great team of engineers and data scientists to revolutionize how we serve our customers. Key job responsibilities As a Sr. Data Scientist, you will: - Design and implement advanced machine learning models and statistical analyses - Transform complex business problems into science and analytical frameworks - Collaborate with engineering teams to productionize ML models - Present technical findings to senior leadership and stakeholders - Guide junior data scientists and establish best practices for the team A day in the life This is a highly-visible role owning multiple VP-level science initiatives and frequent leadership reviews to provide insights and recommendations backed by data. You will work with senior product and engineering leaders to define data science strategy and technical requirements. The role requires balancing long-term solutions while addressing immediate business needs, driving an incremental approach that is metrics and data driven. About the team Multi-Channel Commerce Fulfillment (MCCF) aims to enable organizations across the world with reliable, cost effective, and flexible end-to-end eCommerce fulfillment solutions in order to help them scale, succeed, and offer best in class experiences to their customers. MCF represents the core fulfillment capability of Buy with Prime (BwP), a new business initiative for Amazon. Buy with Prime (BwP) and Multi Channel Fulfillment (MCF) are helping people reimagine the way they shop….wherever they do! Our vision is to enable every entrepreneur in the world to reach every customer in the world through every channel they can imagine. Buy with Prime (BwP) is a new way to extend Prime shopping benefits—including fast, free shipping, a seamless checkout experience, and free returns—to merchants’ own online stores, ultimately increasing selection for Prime members. For over 20 years, Amazon been empowering small and medium-sized businesses with opportunities to grow. Buy with Prime is an exciting next step in our mission to help merchants of all sizes grow their business—whether on Amazon or beyond. Basic Qualifications - 5+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 4+ years of data scientist experience - Experience with statistical models e.g. multinomial logistic regression Preferred Qualifications - 2+ years of data visualization using AWS QuickSight, Tableau, R Shiny, etc. experience - Experience managing data pipelines - Experience as a leader and mentor on a data science team 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, 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 $143,300/year in our lowest geographic market up to $247,600/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.