For more than 25 years, PayPal has been transforming global commerce with innovative solutions that make moving money, selling, and shopping simple, personalized, and secure. Operating in ~200 markets, PayPal bridges hundreds of millions of merchants and consumers through its trusted payment ecosystem. Its suite of offerings—including PayPal, Venmo, and Xoom—powers safer transactions, flexible payments, international reach, and seamless financial connections across the globe.
At PayPal, our core values of Inclusion, Innovation, Collaboration, and Wellness guide everything we do. We’re more than a payments platform—we create equitable opportunities for individuals, businesses, and economies to thrive.
💼 Role Overview: Data Scientist 1
📍 Location: Bengaluru, Karnataka, India (Hybrid model: 3 in-office days + 2 remote days)
🕒 Experience: 4+ years in analytics
📊 Tech Stack: SQL, Python, R, SAS, Hadoop, Predictive Models (Regression, Classification, NLP, Forecasting)
🧠 Role Type: Full-Time, Individual Contributor
🔧 What You’ll Do
- Solve challenging business problems using data analytics for PayPal’s Risk team
- Drive end-to-end projects, from ideation to implementation, with measurable business impact
- Discover emerging fraud trends and design analytical solutions to mitigate risks
- Enhance automation in risk assessment, balancing efficiency with loss prevention
- Collaborate with Product, Platform, Machine Learning, and Operations teams to scale automation
- Conduct case ratings to improve automation quality using account/transactional data and document intelligence tools
- Partner with stakeholders to design effective analysis and measurement frameworks
- Present insights in simple, actionable business language to leadership and product teams
- Continuously improve processes while contributing to the team’s KPIs and risk automation goals
📚 What You’ll Need
- Bachelor’s Degree in Computer Science, Statistics, Math, Economics, or Engineering (Master’s a plus)
- 4+ years’ experience in data analytics, risk modeling, or fraud detection
- Proficiency in querying relational databases using SQL
- Experience in one or more statistical/programming languages: Python, R, SAS
- Knowledge of predictive modeling techniques: Regression, Classification, Forecasting, NLP
- Familiarity with big data tools like Hadoop
- Strong business judgment with creativity in solving complex problems
- Excellent stakeholder management and collaboration skills
- Industry knowledge in Payments, FinTech, or Banking is preferred
🚀 Why PayPal?
- Be part of a global fintech leader, fighting fraud and driving safe global commerce
- Collaborate with an inclusive, innovative, and diverse workforce
- Enjoy flexible hybrid work—balancing effective collaboration onsite and convenience remotely
- Access comprehensive benefits including employee stock options, healthcare, insurance, and retirement plans
- Growth opportunities supported by certifications, mentorships, and ongoing learning
- Experience a culture of belonging, where authenticity and individuality are supported and valued
