Data Science Intern

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:

As a Data Science intern you will have an impact on PayPal’s products all around the world and you will have the opportunity to gain hands-on experience and exposure to the world of data science. This internship is designed to provide a talented and aspiring data scientist with real-world challenges and projects to sharpen their skills while contributing to our data-driven initiatives.

Our interns work to better understand our end-users, identify opportunities, and improve our products by creating personal and smart experiences. Making use of PayPal’s endless amount of data, you will leverage your data and machine learning skills for the research and delivery of end-to-end ML solutions. If you are interested to be a Data Scientist/Machine learning and have sharp analytical skills and a passion for deriving new insights, solving unique challenges, leveraging machine learning algorithms, and working in a highly collaborative, values-driven environment.

Job Description:

Your way to impact:

• You are passionate about data insights and driven by execution.
• You are curious, love exploring data, and uncovering insights.
• You are analytically sharp, believe in data-driven decisions, and communicate through storytelling.
• You are a motivated self-starter, thrive in fast-paced environments, and deliver results with minimal guidance.
• You are a player-coach, ready to dive into details and lead by example.

Your day to day:

• Become a domain expert and conduct data analysis to drive financial benefits without compromising customer experience.
• Challenge the status quo and promote data-driven decision-making.
• Work closely with product leaders to understand new offerings and recommend key metrics for performance tracking.
• Identify key metrics, perform in-depth data analysis, and create executive-friendly insights to drive decisions and prioritization.
• Analyze business performance, troubleshoot issues, and recommend optimal solutions for improvement.
• Synthesize large datasets with attention to detail, presenting findings and recommendations to senior stakeholders.
• Collaborate with engineering and data teams to resolve data tracking issues and build necessary pipelines.
• Define and implement best practices in analytics and experimentation.
• Manage multiple projects simultaneously in a fast-paced, results-driven environment.

What do you need to bring:

• Experiences in analyzing large, multi-dimensional datasets and converting insights into actionable s