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Applied Scientist
1 month ago
Job ID: 2713599 | Amazon.com Services LLC Do you want to join an innovative team of scientists who use machine learning and statistical techniques to help Amazon provide the best customer experience by protecting Amazon customers from hackers and bad actors? Do you want to build advanced algorithmic systems that help manage the trust and safety of millions of customers every day? Are you excited by the prospect of analyzing and modeling terabytes of data and creating state-of-the-art algorithms to solve real-world problems? Do you like to innovate and simplify? If yes, then you may be a great fit to join the Amazon Account Integrity team. The Amazon Account Integrity team works to ensure that customers are protected from bad actors trying to access their accounts. Our greatest challenge is protecting customer trust without unjustly harming good customers. To strike the right balance, we invest in mechanisms which allow us to accurately identify and mitigate risk, and to quickly correct and learn from our mistakes. This strategy includes continuously evolving enforcement policies, iterating our Machine Learning risk models, and exercising high‐judgment decision-making where we cannot apply automation. Main Responsibilities: Use statistical and machine learning techniques to create scalable risk management systems. Analyze and understand large amounts of Amazon’s historical business data for specific instances of risk or broader risk trends. Design, develop, and evaluate highly innovative models for risk management. Work closely with software engineering teams to drive real-time model implementations and new feature creations. Collaborate with operations staff to optimize risk management operations. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. Track general business activity and provide clear, compelling management reporting on a regular basis. Research and implement novel machine learning and statistical approaches. BASIC QUALIFICATIONS - PhD or Master's degree and 4+ years of CS, CE, ML, or related field experience. - Experience programming in Java, C++, Python, or related language. - 3+ years of hands-on predictive modeling and large data analysis experience. - Experience in any of the following areas: algorithms and data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing. - Strong communication and data presentation skills. - Problem-solving ability. PREFERRED QUALIFICATIONS - A PhD in Computer Science, Machine Learning, Statistics, or in a highly quantitative field. - 3+ years of industry experience in predictive modeling and large data analysis. - Strong skills with Python/Spark (or similar scripting language), Java/C++, and SQL. - Strong problem-solving and dive deep ability. - Strong communication, writing, and data presentation skills. Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. #J-18808-Ljbffr
