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PayPal

Data Scientist

Posted 12 Days Ago
Be an Early Applicant
Madhapur, Rangareddy, Telangana
Mid level
Madhapur, Rangareddy, Telangana
Mid level
As a Data Scientist at PayPal, you will leverage machine learning and data analysis to create and deploy solutions for detecting fraud. You will work with clients to design these solutions, ensuring their effectiveness in combating fraud, and require collaboration with both technical and business teams.
The summary above was generated by AI

The Company

PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. 

We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers.

We offer our customers the flexibility to use their accounts to purchase and receive payments for goods and services, as well as the ability to transfer and withdraw funds. We enable consumers to exchange funds more safely with merchants using a variety of funding sources, which may include a bank account, a PayPal or Venmo account balance, PayPal and Venmo branded credit products, a credit card, a debit card, certain cryptocurrencies, or other stored value products such as gift cards, and eligible credit card rewards. Our PayPal, Venmo, and Xoom products also make it safer and simpler for friends and family to transfer funds to each other. We offer merchants an end-to-end payments solution that provides authorization and settlement capabilities, as well as instant access to funds and payouts. We also help merchants connect with their customers, process exchanges and returns, and manage risk. We enable consumers to engage in cross-border shopping and merchants to extend their global reach while reducing the complexity and friction involved in enabling cross-border trade. 

Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do – and they push us to ensure we take care of ourselves, each other, and our communities.

Job Description Summary:

What you need to know about the role
PayPal’s Risk as a Service Data Scientists are comprehensive analytical experts who collaborate with a team of technical and business industry experts, to ensure that their customers are successful in their deployments in catching fraud and malicious activities. They continually improve and apply their technical knowledge and analytical skills across the product suite at every level of the customer.
Meet Our Team
Our team is highly motivated, enthusiastic, and client-focused. We do whatever is necessary to empower PayPal’s merchants to fight fraud in their businesses. If you are a fast learner, and willing to solve problems in the fraud space at scale, we would love to talk with you.

Job Description:

Your way to impact

As a successful Data Scientist, you will build upon the products and provide subject matter expertise to ensure that they can not only design, implement, and deploy a successful fraud solution, including machine learning models and data analysis, as well as be able to explain and design the solution together with the client's business team, leading to happy customers.


Your day to day 

  • Work closely with multiple large & strategic customers to consult and strategize on the approach in tackling fraud, and ensure Fraud Protection is deployed and performs well

  • Regularly analyze large data sets to identify fraud patterns and implement necessary changes to the system 

  • Work on top of a state-of-the-art technology stack and together with a dedicated data science and engineering team to design and implement data driven solutions that operate at scale and in real-time

  • Be a clear subject matter expert of Fraud protection platform as well as developing risk solutions in specific fields (banking, finance, eCommerce)

  • Make business recommendations to the executive and cross-functional teams with effective presentations of findings at multiple levels of stakeholders

  • Collate feedback from clients and work with cross functional teams to recommend, design and implement new product features 

  • Work with engineering teams to ensure best practices are followed for product deployment and solution implementation 


What do you need to bring

  • Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience

  • A minimum of 4 years of experience in advanced Data Analysis, Research, Risk and Fraud Investigation or Internet Industry

  • Experience with Python, SQL

  • Sound understanding of ML concepts like regression, classification etc.


Preferred Experience

  • MS/PhD Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining or related field or equivalent practical experience

  • Experience in one of the following areas: eCommerce, online payments, user trust/risk/fraud investigation/product abuse

  • Project Management experience and attention to detail with the ability to gets things done. 

  • Strong process improvement, prioritization, and multi-tasking capabilities

  • Demonstrated analytical thinking through data-driven decisions, as well as the technical know-how, and ability to work with your team to make a big impact

  • Knowledge of database structures and/or working with Unix/Linux

  • Outstanding leadership, influencing, communication, interpersonal and teamwork skills


**We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don't hesitate to apply.

Additional Job Description:

Subsidiary:

PayPal

Travel Percent:

0

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

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.

Commitment to Diversity and Inclusion

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].

Belonging at PayPal: 

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please Join our Talent Community.

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Top Skills

Python
R
SQL

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