Posted:
10/6/2024, 9:20:52 PM
Location(s):
Chennai, Tamil Nadu, India ⋅ Tamil Nadu, India ⋅ Karnataka, India
Experience Level(s):
Senior
Field(s):
AI & Machine Learning ⋅ Software Engineering
Workplace Type:
Hybrid
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-Job Description:
Your way to impact
How the role fits within the wider organisation + how the role/org service our customers.
In this role at PayPal, you'll directly impact the business by reducing the loss due to fraud attacks at different stages in the PayPal ecosystem. You’ll work with domain expert teams like cyber security, investigations, vulnerability detection, proactive fraud prevention and you’ll also work with business teams who are product owners like crypto wallet owners, 2 factor authentication product owners, 3rd party billing agreement owners etc. Your models help the business teams and expert teams to prevent fraud as early as possible, reduce loss and improve the KPIs.
Your day to day
In your day to day role you will:
- Build ML/DL models for fraud prevention, analyse fraud patterns, create and adopt advanced proprietary fraud prevention mechanisms.
- Leverage state of the art algorithms and techniques for fraud prevention. Research new algorithms/approaches to better our ecosystem.
- Overcome challenges presented by big data, evolving fraud techniques and new payment technologies by leveraging ML expertise, domain expertise, analysis skills and understanding evolving fraud patterns.
- Ownership of model development process from start to finish and work closely with business team and strategy team to solve the problem at hand.
What do you need to bring
- Bachelors with 4+ years of experience or Masters with 2+ years of experience or PhD with 2+ years of research experience specialised in Data science, Computer science, Artificial Intelligence, information Technology, Statistics, Mathematics, Cybersecurity or any related field.
- Solid understanding of machine learning algorithms, probability, statistics, data science, A/B testing, analysis of ML models. Deep learning algorithms understanding is a plus.
- Hands-on experience in end-to-end ML lifecycle:- data analysis, feature engineering, feature selection, technique selection & implementation, hyper-parameter tuning, deployment and maintenance in production.
- Proficiency in programming languages like Python/R etc. (Python preferable) and ML frameworks like Tensorflow, PyTorch, Caffe etc.
- Hands on with SQL, to be able to pull data from various upstream sources and transform it.
- Proven track record of delivering actionable insights and driving business impact through data-driven decision-making.
Additional Job Description:
Subsidiary:
PayPalTravel Percent:
0For 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.
Website: https://www.paypal.com/
Headquarter Location: San Jose, California, United States
Employee Count: 10001+
Year Founded: 1998
IPO Status: Public
Last Funding Type: Post-IPO Debt
Industries: E-Commerce Platforms ⋅ FinTech ⋅ Mobile Payments ⋅ Transaction Processing