Manager, Data Science
Job Summary
Job Description
- 9-12 years of relevant experience with large datasets.
- Strong analytical mindset and ability to execute analytical plans.
- Excellent communication skills for engineers and leaders.
- Technical proficiency in Excel, SQL, and Python/R.
- Flexible work environment
- Employee share options
- Health and life insurance
- More benefits available at https://www.paypalbenefits.com
11 skills required
Job Details
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 Summary:
What you need to know about the roleWe are looking for Manager Data Science with experience of Managing large portfolios to develop PayPal’s Risk strategy within the SMB Fraud Risk solutions team. Manager Data Science will be the end-to-end owner of the consumer risk for SMB products and is responsible for end-to-end management of loss and decline rates. Day-to-day duties include leading a team of data scientists to deliver impactful, data-driven solutions across the business. This role combines technical expertise with strategic leadership to guide end-to-end project execution, from defining business problems to deploying models and delivering insights. The manager also aligns cross-functional stakeholders and ensures the Risk strategy function contributes meaningfully to business growth and innovation.
Meet our team
PayPal's Global Fraud Protection team is responsible for partnering with global business units to manage a variety of risk of various types, including identity fraud, account takeover, stolen financial fraud, and credit issues. This is an exciting department that plays an important role in contributing PayPal's bottom line financial savings, ensuring safe and secure global business growth, and delivering the best customer experience.
This open opportunity is within the SMB Fraud Risk team. This portfolio is comprised of PayPal’s leading-edge SMB payments solutions, such as Bill Pay, Invoicing, Zettle, Donations etc. as well as customized experiences developed for the company’s highest-priority strategic Markets and Partnerships.
Job Description:
Your way to impact
You will be the Manager Data Science in the Fraud Risk team, where you will work on leading new projects to build and improve the Risk strategies to prevent fraud using the Risk tooled and custom data & AL/ML models. In this position, you will be partnering with the corresponding Business Units to align with and influence their strategic priorities, educate business partners about Risk management principles, and collaboratively optimize the Risk treatments and experiences for these unique products and partners.
Your day to day
In your day-to-day role you will -
In this role you will have full ownership of a consumer risk for SMB products and will be responsible for end-to-end management of loss and decline rates working with a few Data Scientists in the team.
Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines or improve customer friction.
Work on multiple assignments simultaneously while focus on how to achieve overall analytic objectives of a project with speed and quality and suggest ideas for execution and efficiency.
The manager also aligns cross-functional stakeholders and ensures the Risk strategy function contributes meaningfully to business growth and innovation while meeting KPIs such as Authentication and loss rate targets.
What do you need to bring-
9-12 years of relevant experience working with large-scale complex dataset along with managing a team of 3-6 Data Scientists.
Strong analytical mindset, ability to decompose business requirements into an analytical plan, and execute the plan to answer those business questions
Excellent communication skills, equally adept at working with engineers as well as business leaders
Want to build new solutions and invent new approaches to big, ambiguous, critical problems
Strong working knowledge of Excel, SQL and Python/R
Technical Proficiency: Exploratory Data Analysis and expertise in preparing a clean and structured data for model development. Experience in applying AI/ML techniques for business decisioning including supervised and unsupervised learning (e.g., regression, classification, clustering, decision trees, anomaly detection, etc.). Knowledge of model evaluation techniques such as Precision, Recall, ROC-AUC Curve, etc. along with basic statistical concepts.
Preferred Qualification:
Subsidiary:
PayPalTravel Percent:
20For 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 talentaccommodations@paypal.com.
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.
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