Description Amazon Selling Partner Services (SPS) team's mission is to make Amazon the safest and most trusted place worldwide to transact online. Amazon runs one of the most dynamic e-commerce marketplaces in the world, with nearly 2 million sellers worldwide selling hundreds of millions of items in ten countries. SPS safeguards every financial transaction across all Amazon sites. As such, SPS designs and builds the software systems, risk models and operational processes that minimize risk and maximize trust in Amazon.com. SPS organization is looking for a Data Scientist for its Forecasting and Planning Research team. The team is being grown to provide insights about its SPS planning and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors and bad debt, improve customer experience and predict & recommend the optimizations for future state of SPS operations. As a Data Scientist, you will be responsible for modeling complex problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques, with a strong emphasis on leveraging Generative AI and Large Language Models (LLMs) to drive innovation. You will develop and deploy Gen AI-powered solutions for intelligent forecasting, automated pattern recognition in variance analysis, and conversational AI interfaces for operational dashboards. The role requires building agentic AI systems that enable natural language querying, automated root cause analysis, and intelligent recommendation engines for workforce optimization and resource planning. You will need to collaborate effectively with internal stakeholders and cross-functional teams to solve problems, create operational efficiencies, and deliver successfully against high organizational standards. The candidate should be able to apply a breadth of tools, data sources and analytical techniques—including transformer architectures, foundation models, and prompt engineering—to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, the candidate should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Basic Qualifications - Bachelor's degree or above in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) - 1+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 1+ years of data/research scientist, statistician or quantitative analyst in an internet-based company with complex and big data sources experience - 1+ years of creating or contributing to mathematical textbooks, research papers, or educational content experience Preferred Qualifications - Ph.D. in Science, Technology, Engineering, or Mathematics (STEM) - Knowledge of statistical packages and business intelligence tools such as SPSS, SAS, S-PLUS, or R - Knowledge of machine learning concepts and their application to reasoning and problem-solving - Experience with clustered data processing (e.g., Hadoop, Spark, Map-reduce, and Hive) - Experience working with or evaluating AI systems - Experience applying quantitative analysis to solve business problems and making data-driven business decisions - Experience effectively communicating complex concepts through written and verbal communication 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.