who we are fueled by a fundamental belief that having access to financial services creates opportunity paypal nasdaq pypl is committed to democratizing financial services and empowering people and businesses to join and thrive in the global economy our open digital payments platform gives paypals 277 million active account holders the confidence to connect and transact in new and powerful ways whether they are online on a mobile device in an app or in person through a combination of technological innovation and strategic partnerships paypal creates better ways to manage and move money and offers choice and flexibility when sending payments paying or getting paid available in more than 200 markets around the world the paypal platform including braintree venmo and xoom enables consumers and merchants to receive money in more than 100 currencies withdraw funds in 56 currencies and hold balances in their paypal accounts in 25 currencies when applying for a job you are required to create an account if you have already created account click sign in creating an account will allow you to follow the progress of your applications note provide full legal first namefamily name do capitalize first letter of first and last name example john smith dont capitalize entire first andor last name example john smith note use correct grammar for names with multiple cases example mcdonald or oconnell provide full address details resume is required multiple attachments can be uploaded including resume and cover letter for each application job description summary in this role youll apply the latest machine learning algorithms to solve some of the most challenging problems in payments and fraud youll drive data science analysis for decisionmaking by collaborating on a daily basis with a team of product managers engineers and analysts job description details work with internal and external clients to creatively leverage new and existing data sources to increase the effectiveness and efficiency of our existing suites of machine learning models work with engineers to design solutions that operate at scale and in realtime make business recommendations to the executive and crossfunctional teams with effective presentations of findings at multiple levels of stakeholders qualifications requirements 3 years industry experience in fraud and risk detection with developing machine learning models at scale from inception to business impact experience working with sql hive python and unix risk fraud detection experience is highly preferred but not requiremed masters degree plus 23 years in data science or machine learning statistics optimization physics or related field with experience building productionready ml models and systems phd preferred but not required ms in a quantitative field with 4 years of experience in implementing and deploying realtime scale ml solutions deep understanding of and experience of modern machine learning techniques such as classification recommendation systems and other shallow learning techniques data analytics and statistical models deep learning experience preferred but not a requirement the versatility to communicate clearly with both technical and nontechnical audiences a willingness to solve problems using whichever tool is most