Data Scientist, IES CFX & Prime

• Use machine learning and statistical techniques to create scalable abuse detection solutions that identify fraudulent customer behavior, rings of accounts, identity change, holistic customer risk and marketplace manipulation schemes • Innovate with the latest GenAI technology to build highly automated solutions for efficient customer promotions • Design, develop and deploy end-to-end machine learning solutions in the Amazon production environment to delight Amazon customers • Collaborate with cross-functional teams to develop comprehensive ML/statistical models that can scale to millions of customers and 10+ countries BASIC QUALIFICATIONS - 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience - 3+ 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 - Master's degree in Science, Technology, Engineering, or Mathematics (STEM), or experience working in Science, Technology, Engineering, or Mathematics (STEM) 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 busi

Amazon is a global technology company operating in e-commerce, cloud computing (AWS), digital streaming, advertising and artificial intelligence. Its India operations span development centres in Bengaluru, Hyderabad, Chennai, Pune, Gurugram and Mumbai, covering retail technology, AWS infrastructure, Alexa, advertising, payments and supply-chain systems.