Applied Scientist, Payments & Fraud Prevention, AWS Payments & Fraud Prevention

Are you passionate about building machine learning systems that protect one the world's largest cloud platform? The AWS Payments & Fraud Prevention (P&FP) Science team is looking for a driven Applied Scientist Basic qualifications: - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - 3+ years of building models for business application experience - 5+ years of designing experiments and statistical analysis of results experience - Experience programming in Java, C++, Python or related language - 3+ years of practical work applying ML to solve complex problems for large-scale applications experience - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience working in a large team or fast-paced corporate environment - PhD or equivalent Master's degree in Machine Learning, Artificial Intelligence, Mathematics, Statistics, Computer Science, Operations Research or in another highly quantitative field - Ability to develop and deploy (in partnership with engineers) Machine Learning models that power specific applications - Skilled in various Statistical and traditional Machine Learning methods such as tree-based models - Superior verbal and written communication and presentation skills, ability to convey rigorous mathematical concepts and considerations to non-experts Preferred: - Experience using Unix/Linux - Experience in professional software development - Experience with neural deep learning methods and machine learning - Knowledge of AWS Infrastructure - Knowledge of AWS services including compute, storage, networking, security, databases, machine learning, and serverless technologies - 4+ years of applied ML experience in a quantitative filed - Predictive Analytics Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. 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. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 172,400.00 - 223,400.00 USD annually