Applied Scientist II, International and Emerging Stores Payments

Do you want to translate cutting-edge science into products that expand financial access for millions? At International and Emerging Stores Payments (IESP), we build payment solutions for communities and Basic qualifications: - 3+ years of building models for business application experience - PhD, or Master's degree and 4+ years of CS, CE, ML or related field experience - Experience programming or scripting language like Python, Java, C or C++ - Experience in solving business problems through machine learning, data mining and statistical algorithms Preferred: - Ph.D. in computer science, engineering, mathematics or equivalent, or Master's degree and 1+ years of a quantitative field such as statistics, mathematics, data science, business analytics, economics, finance, engineering, or computer science experience - Experience in building machine learning models for business application - Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients - Experience working with big data, machine learning and predictive modeling - Experience providing and effectively communicating strategic and tactical recommendations based on data - Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits), or experience communicating results to senior leadership - Experience in written and verbal communication skills to communicate with technical and non-technical audiences, including senior leadership - Experience working with stakeholders to plan and execute programs that are strategic in nature - Experience in building large-scale machine-learning models and personalization - Effective verbal and written communication skills with non-technical and technical audiences. - Experience working with large real-world data sets and building scalable models from big data. - Thinks strategically, but stays on top of tactical execution. - Advanced degree in Computer Science, Mathematics, Statistics, or related quantitative field. Published research work in academic conferences or industry circles. - Experience in building large-scale machine-learning models and personalization - Experience working with large real-world data sets and building scalable models from big data. 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, WA, Seattle - 142,800.00 - 193,200.00 USD annually