Machine Learning Engineer 3

Job Description

At PayPal (NASDAQ: PYPL), we believe that every person has the right to participate fully in the global economy. Our mission is to democratize financial services to ensure that everyone, regardless of background or economic standing, has access to affordable, convenient, and secure products and services to take control of their financial lives. Summary:Machine Learning Scientist as part of the Compliance Data Science team based in India. Primary responsibility to build machine learning models for PayPals Anti Money Laundering, Sanction, Brand Risk in the Compliance domain, to ensure compliance to regulation, enhance internal risk controls and improve operational efficiency to enable the best user experience, using data science.What you need to know about the role-As a machine learning scientist of our team, you will work with Business partner, Product Owners and machine learning engineer building machine learning solutions and improving existing Compliance risk management effectiveness and efficiency. Youll estimate engineering efforts, prioritize projects, plan implementations, and triage production issues. You need to be dynamic, collaborative and curious, as youll work in a fast-paced environment where continuous experimentation and innovation are a given.Meet our teamOur Compliance data science team uses advanced data science capabilities to build solutions for Compliance thataddress business problems and provide value-adds to scale the business.Your way to impactMachine Learning Scientist as part of the Compliance Data Science team based in India. Primary responsibility to build machine learning models for PayPals Anti Money Laundering, Sanction, Brand Risk in the Compliance domain, to ensure compliance to regulation, enhance internal risk controls and improve operational efficiency to enable the best user experience, using data science.Our machine learning scientists work with business partners and stake holders to understand the business, identify trends, perform root cause analysis and test hypotheses, come up with the solutions and communicate complex concepts and the results of the models and analyses to technical and non-technical audience. We are looking for the highest levels of technical talent to lead complex, multifunctional data science projects. You will work with engineers to design, develop and implement real-time, highly complex advance machine learning models to solve Compliance business problems.If you love working on newest technologies, delivering valuable and quality products with the sense of ownership then you should join us!Your day to dayAt PayPal, we work together on small, collaborative teams. Were passionate about work quality and were constantly - some might say, obsessively - finding new ways to perfect our processes and product.We believe in One Team Behaviours and Innovation, Collaboration, Inclusion and Wellness are major pillars for our success.What do you need to bring-

• B.S. or equivalent degree in Computer Science or engineering field is desired with 4+ years of relevant experience.
• Strong problem-solving and communication skills
• Proven track record of building and implementing machine learning solutions
• Hands on machine learning expertise in Python. Familiar with various Machine Learning algorithms and Statistical methods. Experience in using pytorch or tensorflow.
• Have a passion for working on big data and professional experience in data mining, statistical analysis, predictive modeling and data manipulation.
• Ability to deal with large amount of data and fluency with SQL or SQL-like tools.
• Financial services or eCommerce experience a big plus

Additional Subsidiary:PayPalTravel Percent:0Our Benefits:At PayPal, were committed to building an equitable and inclusive global economy. And we cant do this without our most important asset-you. Thats why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit Who We Are:to learn more about our culture and community.PayPal has remained at the forefront of the digital payment revolution for more than 20 years. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, the PayPal platform is empowering more than 400 million consumers and merchants in more than 200 markets to join and thrive in the global economy. For more information, visit paypal.com.PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .Any general requests for consideration of your skills, please As part of PayPals commitment to employees health and safety, we have established in-office Covid-19 protocols and requirements, based on expert guidance. Depending on location, this might include a Covid-19 vaccination requirement for any employee whose role requires them to work onsite. Employees may request reasonable accommodation based on a medical condition or religious belief that prevents them from being vaccinated.

Keyskills :
Predictive ModelingMachine LearningPytorchData MiningPythonSqlStatistical AnalysisTensorflow