Job highlights

- 3+ years relevant experience and a Bachelors degree OR Any equivalent combination of education and experience
- Working knowledge of Python or R for data analysis and modeling. Strong proficiency in Microsoft Excel for ad-hoc analysis and reporting.
- Minimum Qualifications
- Additional Responsibilities Preferred Qualifications

Job Summary

We are seeking a Senior Data Scientist to join PayPal's Global portfolio analytics team. In this role you will focus on building performance tracking frameworks, identifying key performance drivers, enabling proactive capacity planning, and translating data into actionable insights that directly inform collections strategy. You will partner across Credit Strategy, Fraud, Second Line, and Operations to share portfolio performance drivers and also identify opportunity areas to improve customer experience while optimizing the Opex. Using SQL, Python, AI, and advanced analytics, you will transform complex data into actionable insights and build scalable, reusable solutions for portfolio performance analysis. You will also communicate findings and recommendations clearly and succinctly through compelling verbal and PowerPoint presentations.

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

- Proficiency in SQL for data extraction, manipulation, and analysis
- Hands-on experience with BI tools such as Tableau or Power BI for performance tracking and visualization
- Working knowledge of Python or R for data analysis and modeling
- Solid proficiency in Microsoft Excel for ad-hoc analysis and reporting
- Solid understanding of collections, credit, or lending metrics and portfolio management concepts
- Experience supporting product launches or building analytics frameworks from the ground up
- Ability to communicate complex analytical findings clearly to both technical and non-technical stakeholders
- Strong collaboration and influencing skills, with the ability to align stakeholders across Credit Strategy, Fraud, Risk, Second Line, Operations, Product, Technology, and Legal and Compliance
- A proactive and adaptable approach, with the ability to work effectively under pressure and manage multiple priorities
- Ability to work independently, identify and resolve issues, and recommend improvements to strategies, policies, and processes

Travel Percent: 0 Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Data Scientist (Bengaluru)
🏢 Xoom
📍 Bengaluru