Sr Data Scientist

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:

This job will lead the development and implementation of advanced data science models and algorithms. You will work with stakeholders to understand requirements and deliver solutions. The position emphasizes translating complex, multi-dimensional data into clear insights, forecasts, and recommendations that influence product strategy and leadership.

Job Description:

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Minimum Qualifications:

• 3+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience.

Additional Responsibilities & Preferred Qualifications:

• Bachelor’s/Master’s degree/PhD in a quantitative field (e.g., Analytics, Statistics, Mathematics, Economics, Engineering) or equivalent industry experience.

• 3+ years of experience in advanced analytics or data science roles

• Deep expertise in experimentation, including A/B testing design, execution, analysis, and causal inference to measure true product/feature/strategy impacts

• Strong background in time-series analysis and forecasting to support growth planning and performance monitoring.

• Advanced proficiency in SQL and Python, with hands-on experience using large-scale analytics platforms (e.g., BigQuery) and analytics tools (e.g., Jupyter Notebooks) to analyze large, multi-dimensional datasets.

• Proven ability to synthesize complex analytical findings into clear, actionable insights and compelling narratives for senior stakeholders

• Strong problem-solving skills with a track record of delivering data-driven recommendations that influence product and business strategy

• Experience building dashboards and automated reporting solutions using visualization tools (e.g. Tableau) to communicate experimentation results and ongoing performance metrics

• Industry experience in payments, eCommerce, or financial services is a strong plus

• Excellent written and verbal communication skills, with the ability to explain complex analytical concepts to both technical and non-technical audiences

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