Sr Data Scientist

PayPal • San Jose, CA

35d • Hybrid

About The Position

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. Your role involves driving best practices in data science, ensuring data quality, and mentoring junior scientists.

Requirements

• 3+ years relevant experience and a Bachelor's degree OR Any equivalent combination of education and experience.
• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.
• Strong analytical and problem-solving mindset, with a degree in a quantitative field such as Data Science, Computer Science, Engineering, Statistics, Mathematics, Economics, or a related discipline
• 4+ years of experience in Product Data Science, including A/B testing and experimentation, advanced analytics, and applied machine learning
• Advanced proficiency in SQL and Python, with expertise in working with large-scale, complex datasets to derive actionable insights

Nice To Haves

• Proven track record of partnering with Product teams in domains such as Payments, eCommerce, or SaaS to shape product strategy, inform roadmaps, and deliver impactful data-driven insights
• Deep experience analyzing high-volume, high-dimensional real-world data, with a focus on scalability and business impact
• Hands-on experience with modern data tools and platforms such as Jupyter Notebooks, BigQuery, Teradata, Hadoop, or Hive is highly desirable
• Exceptional communication and data storytelling skills, with the ability to distill complex findings for both technical and non-technical audiences and influence cross-functional decision-making
• Highly motivated and self-directed, with a strong passion for experimentation, product thinking, and navigating ambiguity in a fast-paced environment
• Prior work experience in Product/Business/Risk analytics space would be highly valued

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.

Benefits

• PayPal is committed to fair and equitable compensation practices.
• The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits.
• We have great benefits including a flexible work environment, employee shares options, health and life insurance and more.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Industry: Credit Intermediation and Related Activities
• Number of Employees: 5,001-10,000 employees