Data Scientist, AWS Payments and Fraud Prevention

Own the detection models and the measurement science that find fraudulent and compromised AWS accounts in real time. Join a team of scientists and engineers whose analysis decides how fraud is detected Basic qualifications: - Master's degree in a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science - Experience with data scripting languages (e.g. SQL, Python, R etc.) or statistical/mathematical software (e.g. R, SAS, or Matlab) - Experience with statistical modeling / machine learning - Experience in designing experiments and statistical analysis of results - This role requires you to be a national of an EU member state. Preferred: - Experience with Machine Learning and Large Language Model fundamentals, including architecture, training/inference lifecycles, and optimization of model execution, or experience designing or architecting (design patterns, reliability and scaling) of new and existing systems - Experience with one of the following areas: machine learning technologies, Reinforcement Learning, Deep Learning, Computer Vision, Natural Language Processing (NLP) or related applications - Experience in fraud, risk, security or another adversarial domain where the data shifts in response to your models. - Experience deploying machine learning models in cloud infrastructure and monitoring them after launch, including retraining. - Experience with AWS services such as Redshift, SageMaker, Fargate, Lambda, Bedrock or DynamoDB. - Experience framing an open-ended business question as a quantitative problem and owning the analysis end to end. Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. m/w/d 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.