Job Description

Job Description
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 PayPal’s 286 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.
PayPal is looking for a key leader in the Global Data Science Organization, to establish and scale Mahcine Learning/Artificial Intelligence capabilities in Channai (India). This person will be responsible for setting up and scaling a brand new Data Science team in Chennai supporting Global Credit organization within PayPal.This leader needs to have a strong background in Machine Learning, practical experience in building and implementing large scale predictive models to solve business problems, bringing insights from Machine Learning to market, and experience managing Data Science teams. They also need a strong results-focused business orientation, a collaborative and motivating style, and influencing skills to effectively interact with diverse executive stakeholders. Recruitment, training and retention of top-tier talent at all experience levels will be critical to success. This person will also serve as local Machine Learning/AI SME and play a critical part in expansion of this function in PayPal India locations.

In your role, you will:

  • Recruit, build and retain a top-tier data science team that brings together top talent at all levels, cutting edge technology, and analytic innovation
  • Assess, inspire and motivate a high performing team of data science professionals
  • Develop impactful relationships with senior leaders in the Credit Business, stakeholders across the broader company, and leaders in the broader Data Science community
  • 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)
  • Build ML/AI solutions and together with strong partnership with our engineering group and PayPal's Platforms organization.
  • Communicate complex concepts and the results of the models and analyses to technical and non-technical audience. Be able to influence partners and customers.
  • Interpret and effectively defend approaches to 3rd parties, including technical regulatory examiners
  • Be a true thought leader for our organization (and PayPal overall) and contribute significantly to develop the next generation of applicable AI technologies for the company.

THE PERSON

This leader will play a key role in GDS organization who will utilize their expertise to build a high performing team. The ideal individual we seek is a professionally mature, confident who is comfortable and effective at all levels of the organization. S/He will use their prior experience to deploy data science and machine learning solutions with modern technology in a business setting. This person will leverage their years of experience in driving positive impact on customers by leveraging machine learning and predictive analytics. The candidate will be seen as a strategic thought partner, capable of communicating and influencing senior leadership. S/He will have the ability to collaborate across the organization and enterprise, building relationships with key stakeholders.

  • Advanced degree (MS or PhD) in science or engineering field with 8+ years of relevant experience. 4+ years of supervisory experience.
  • Experience in building a strong team of data-scientists
  • Proven experience in solving open-ended business problems using data-science/ML/AI from initial ideation stage up to delivering ready-to-use solution
  • Have a true passion for working on big data/ML/AI  and professional experience in data mining, statistical analysis, predictive modeling, managing product functions
  • Strong problem-solving skills, business acumen, and communication skills
  • Proven experience in working with multiple partner groups to drive longer term strategies within a matrix-based organization
  • Strong Programming experience in C/C++, or Java, and skills in scripting languages such as Perl or Python. Familiar with various Machine Learning algorithms and Statistical methods
  • SQL and Hadoop / Other Big Data skills
  • Experience in Fintech/Banking/Credit industry a strong plus

We're a purpose-driven company whose beliefs are the foundation for how we conduct business every day. We hold ourselves to our One Team Behaviors which demand that we hold the highest ethical standards, to empower an open and diverse workplace, and strive to treat everyone who is touched by our business with dignity and respect. Our employees challenge the status quo, ask questions, and find solutions. We want to break down barriers to financial empowerment. Join us as we change the way the world defines financial freedom.
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 paypalglobaltalentacquisition@paypal.com.
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