PayPal Hiring for Data Scientist (Experienced)
Job Title: Data Scientist
Job ID: R0128302
Location: Hyderabad, Telangana, India (Hybrid: 3 days in office, 2 days remote)
Employment Type: Full-Time
Experience: Minimum 2 years of relevant data science or analytics experience required
Salary: As per Industry Standards
Qualification: Bachelor’s Degree in a quantitative field or equivalent experience; Advanced degree (MS/PhD) preferred
Certifications if any: Not mandatory, but certifications in data science, cloud, or machine learning are a plus
About Us
PayPal is a global fintech leader providing secure and seamless payment solutions to over 400 million users worldwide. Operating in 200+ markets, PayPal offers services such as online payments, peer-to-peer transfers, and merchant tools to power e-commerce businesses. Our commitment to customer trust, technological innovation, and financial inclusion drives us to reimagine how money moves in a digital world.
In India, PayPal’s Hyderabad center is a strategic technology and analytics hub, contributing to global initiatives in AI, fraud detection, risk management, and scalable payment infrastructure. We empower technologists and analysts with a culture of ownership, continuous learning, and diversity.
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Key Responsibilities
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Build and deploy machine learning and statistical models to prevent fraud and assess risk in real-time
Translate complex datasets into business insights using Python, SQL, and cloud tools
Collaborate with cross-functional teams (engineering, product, legal, operations) to develop data-driven solutions
Work on large-scale structured and unstructured datasets and optimize data pipelines
Design A/B testing strategies and measure the impact of AI/ML solutions
Monitor models post-deployment for performance degradation and retraining needs
Present analytics reports and visualization dashboards for internal stakeholders
Identify patterns and anomalies in transaction behavior to enhance fraud detection systems
Document modeling process, validation, and decisioning logic for compliance audits
Contribute to global knowledge sharing and team mentoring
Required Skills
2+ years of experience as a Data Scientist or Machine Learning Engineer
Proficiency in Python (NumPy, Pandas, scikit-learn) and SQL
Deep understanding of statistical methods, machine learning algorithms, and data preprocessing
Experience in real-world data projects such as fraud analytics, risk modeling, or behavioral analysis
Excellent data visualization and storytelling ability using tools like Tableau or Power BI
Experience with big data tools (Hive, Spark, Kafka, or Airflow)
Strong knowledge of model evaluation metrics and techniques
Problem-solving skills and attention to detail
Ability to handle ambiguity in data and drive clarity through analysis
Strong verbal and written communication skills
Preferred Skills
Master’s or PhD in Data Science, Computer Science, Statistics, or Engineering
Experience working in a financial technology or e-commerce environment
Familiarity with cloud-based platforms (AWS, GCP, or Azure)
Certification in machine learning or cloud platforms (e.g., AWS Certified Machine Learning – Specialty)
Knowledge of fraud frameworks or anomaly detection
Experience with MLOps, CI/CD pipelines, or containerization tools (Docker, Kubernetes)
Participation in open-source AI/ML communities or Kaggle competitions
Understanding of GDPR, PCI DSS, or other compliance standards
Familiarity with NLP or text classification models
Exposure to real-time model monitoring or streaming analytics
Perks & Benefits
Competitive salary with performance-based bonuses
Hybrid work environment with flexibility
Comprehensive medical, dental, vision, and mental health coverage
Generous vacation, sick leave, and wellness time-off
Access to learning portals, certifications, and professional development tools
Global exposure through cross-functional and international team collaboration
Employee stock purchase program and retirement savings plan
Diversity, equity, and inclusion (DEI) initiatives and communities
Modern tech infrastructure, ergonomic workspaces, and collaborative tools
Recognition programs, employee rewards, and internal mobility options
Why Join Us?
At PayPal, you’ll join a purpose-driven company that puts people first—whether it’s users, businesses, or employees. You’ll be working at the intersection of technology, trust, and finance—solving real-world problems at scale. As a Data Scientist, your work will directly enhance the safety and integrity of our global payment network.
Hyderabad is one of PayPal’s key innovation hubs where analytics and engineering come together to redefine what’s possible. Our teams are empowered to take initiative, experiment with new technologies, and learn continuously. You’ll find a workplace that supports career growth, values your voice, and provides opportunities to lead from day one.
