PayPal | Jobs | Machine Learning Scientist | BigDataKB.com | 31-03-22

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    Job Location: Chennai

    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.

    Job Description Summary: Machine Learning Scientist as part of the Credit Data Science team based in Chennai. Primary responsibility to build real time machine learning models for PayPal’s credit business covering multiple geographies and products.

    Job Description:

    Role and responsibilities:

    BigDataKB.com Jyotish
    BigDataKB.com Jyotish - Career & Life Prediction
    Design, develop and implement real-time, highly complex advance machine learning models to solve credit business problems (demand generation, marketing, fraud, credit, account management and collections)

    Work with business partners and stake holders to understand the business, formulate the problems, come up with the solutions and communicate them back effectively to non-technical audience.

    Lead complex, multifunctional data science projects

    Work with large volumes of data; extract and manipulate large datasets using standard tools such as Python, R, H2O, Hadoop and SQL

    Collaborate with engineers to implement models on one of the best data platforms in the industry.

    Analyze data to identify trends, perform root cause analysis and test hypotheses.

    Communicate complex concepts and the results of the models and analyses to technical and non-technical audience

    Mentor and grow junior data scientists


    Qualification

    Advance degree (MS or PhD) in science or engineering field with 2+ years of relevant experience

    Strong problem-solving and communication skills

    Proven track record of building and implementing machine learning solutions

    Experience in leading cross-functional, highly complex Data Science projects

    Data Mining experience in Python, R, H2O and/or SAS. Familiar with various Machine Learning algorithms and Statistical methods

    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

    Our Benefits:

    At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s 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 https://www.paypalbenefits.com

    Who We Are:

    Click Here 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 [email protected].

    As part of PayPal’s 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.

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