Data Science Manager

SKU 7246 Categories ,


Technical area


, , , , ,

HQ Location

Company Name

Company Size


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. We’re a purpose-driven company, and our beliefs are the foundation of how we conduct business every day. We’re guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Collectively, these values inspire us to work together as One Team with our customers at the center of everything we do, and to take care of ourselves, each other, and the communities in which we live and work. We challenge the status quo, ask questions, and find solutions. Join us as we enable the hopes, dreams, and ambitions of millions of people around the world.

PayPal is looking for a key leader in the Global Data Science Organization to establish and scale Machine Learning/Artificial Intelligence capabilities in Chennai (India). This person will be responsible for setting up and scaling a brand new Data Science team and growing an existing Techincal Product team to reach their potential in Chennai supporting Payments 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 and identifying additional opportunities from Data & 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.

Key Responsibilities

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
Build, retain a top-tier Product members who understands Market needs, identifies real opportunities and influences stakeholder and being them to life to create positive impact to PayPal
Assess, inspire and motivate a high performing team of data science professionals
Develop impactful relationships with senior leaders in the Payments 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.


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.

Advance degree (MS or PhD) in science or engineering field with 15+ 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/Payment industry a strong plus

For more than 20 years, PayPal has remained at the forefront of the digital payment revolution. By leveraging technology to make financial services and commerce more convenient, affordable, and secure, our open digital payments platform gives PayPal’s 400 million active account holders the confidence to connect and transact in new and powerful ways. 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 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.


Download Zigup app to

Explore more features​

Available on Play Store & App Store

Addtional features on Zigup app:

Available on Play Store & App Store

product company jobs - Download Zigup available at Play Store and Appstore

Download Zigup app to

Explore more features

Addtional features on Zigup app:

Available on Play Store & App Store

Filter by jobs

Technical Area