PayPal is Hiring Data Scientists in Bangalore

PayPal is looking for talented and driven Data Scientists to join their Global Fraud Protection team in Bangalore. This is an opportunity for professionals with a strong analytical background and 2–4 years of experience to take full ownership of critical fraud risk portfolios. The position sits at the intersection of analytics, machine learning, and business strategy, offering the chance to solve high-impact problems and influence the development of PayPal’s newest payment technologies.

If you’re passionate about data-driven decision making, fraud prevention, and building AI/ML-powered risk systems, this role offers a powerful platform to drive change at scale.

About the Team

PayPal’s Global Fraud Protection team is responsible for safeguarding the platform and its customers from identity theft, account takeovers, payment fraud, and credit misuse. The team partners closely with business leaders across the company to support secure growth while preserving user trust.

The specific opening is within the Large Merchant and Markets Fraud Risk vertical, which covers advanced product lines like PayPal Complete Payments, Risk-as-a-Service, and Fastlane. The team plays a central role in balancing growth, security, and user experience in PayPal’s strategic partnerships and custom payment solutions.

Role Overview

As a Data Scientist in the Fraud Risk team, you will be responsible for managing the loss and decline performance of a product or merchant portfolio. This is a full ownership role where you will analyze fraud patterns, build machine learning models, implement real-time risk strategies, and coordinate with cross-functional teams to design effective and scalable fraud prevention solutions.

Key Responsibilities:

Take ownership of a portfolio and manage end-to-end performance of loss and decline rates
Monitor transaction trends, perform root cause analysis, and forecast fraud KPIs
Work closely with business units to align on strategic goals, customer experience, and fraud management priorities
Create and implement fraud detection rules using custom logic and predictive modeling
Define technical and data requirements for engineering and data science partners
Partner with ML engineers and data scientists to develop and deploy AI-driven fraud prevention tools
Document analytical strategies, present findings, and influence decision-making at the global level

Required Skills and Qualifications

PayPal is looking for experienced professionals who combine technical skills with a strong sense of ownership and business acumen.

Experience & Background:

2–4 years of hands-on experience in data science or risk analytics
Experience working with large-scale, structured and unstructured datasets
Familiarity with fraud detection, financial risk, or similar business domains is a strong advantage

Technical Skills:

Proficiency in SQL, Python or R for data manipulation and analysis
Strong foundation in exploratory data analysis and data preparation for modeling
Experience with AI/ML techniques such as classification, regression, clustering, decision trees, and anomaly detection
Understanding of model evaluation metrics like Precision, Recall, and ROC-AUC

Soft Skills:

Strong communication skills for engaging with both technical and non-technical stakeholders
Ability to translate abstract business problems into clear, actionable data science solutions
A self-starter who enjoys building solutions from the ground up and managing ambiguity
Collaborative and proactive mindset, with a passion for creating secure, user-friendly systems

Why Join PayPal?

PayPal is a global leader in digital payments and offers a dynamic environment where data-driven innovation is central to every decision. Joining PayPal’s fraud analytics team means:

Solving real-world problems at scale for millions of users
Access to cutting-edge technologies and platforms
Working in a mission-driven company that values transparency, inclusion, and integrity
Global exposure and the opportunity to influence cross-functional initiatives
A strong emphasis on career development and continuous learning

The PayPal Advantage

Beyond compensation and benefits, PayPal offers a deeply fulfilling work experience. With a strong ethical foundation, the company encourages employees to build meaningful careers through impact-driven projects, mentorship, and access to international opportunities.

This role blends technical complexity with business impact, giving data scientists a chance to directly contribute to PayPal’s bottom line while improving customer safety and experience.

Apply Now

If you have the technical depth, analytical rigor, and a passion for solving complex fraud challenges, apply now for the Data Scientist position at PayPal in Bangalore.

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