Lead Machine Learning Engineer

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:
As a Machine Learning Engineer you will be leading the India Seller Risk ML team.

Meet our team:
Global Seller Risk ML team enables managing seller fulfillment risk for PayPal with the help of highly scalable ML models that enable accurate risk assessment throughout a seller's lifecycle.
Job Description:
Your way to impact
You will actively partner with Risk Strategy teams and build cutting-edge ML models that enable frictionless experience for our good sellers, while minimizing the losses from bad actors in the system.

Your day-to-day
Work with business partners and stakeholders 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
Design, develop and implement real-time, highly complex advance machine learning models to solve business problems.
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.

What you need to bring
Bachelors/Masters/Ph D in Computer Science/Data Science with 4+ years of practical experience in building ML models at scale.
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
Familiar with various Machine Learning algorithms and Statistical methods.
Strong coding knowledge in Python or other common languages used in ML.
Have a passion for working on big data and professional experience in data mining, statistical analysis, predictive modelling 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

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 visithttps://www.paypalbenefits.com.

Who We Are:
Click Hereto 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 ******.

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, pleaseJoin 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.