Paired is a global staffing and recruiting agency that pairs remote work with top\-tier talent. We help individuals from around the world connect with great companies that are looking for their specific skill set. Our mission is to provide great jobs to talented people, no matter where they are located. Our client is an e\-commerce consultancy firm specializing in data analysis to enhance seller efficiency, helping online sellers boost profitability, streamline operations, recover lost revenue, and maximize advertising performance. About the Role We are looking for a Junior Data Scientist who enjoys figuring things out. You will help the team investigate problems in client accounts, dig into Amazon data, and surface insights that help drive financial recovery. This is an ideal role for someone early in their career who is organized, curious, and comfortable working in spreadsheets. You don’t need to know everything up front, but you should be eager to learn and able to work independently once trained. Responsibilities * Investigate issues in Amazon accounts, such as incorrect fees or missing payments * Analyze reports, transactions, and data to identify errors or discrepancies * Summarize findings in clear documents and spreadsheets * Assist the team in resolving client account issues * Learn how Amazon’s financial systems work and build a deep understanding over time * Propose potential causes or solutions when something doesn’t look right **Requirements:** * 1 to 2 years of relevant experience in financial analysis and data science, operations, or data\-related roles * Experience working with Excel or Google Sheets, including basic formulas and formatting * A track record of being organized, thorough, and reliable * Willingness to learn Amazon systems and ask thoughtful follow\-up questions Bonus Experience * Experience with Amazon Vendor Central or Seller Central * Exposure to audits, reconciliations, or account troubleshooting * Previous work with eCommerce or consumer brands **Benefits:** * Remote Working for a US Company * Exposure to new technology \& trend * Competitive Salary