Data Scientist | PayPal
Company: PayPal
Location: Hyderabad, India
Experience Required: 4 – 8 years
Salary: Not Disclosed
Job Type: Full-time, Permanent
Job Summary
PayPal is looking for a highly skilled Data Scientist to join its Risk as a Service team. This role requires expertise in data analysis, machine learning, and fraud investigation, working with large datasets to create innovative solutions. The Data Scientist will collaborate with cross-functional teams to build risk prevention systems and drive strategic decision-making for fraud detection.
This is an excellent opportunity for professionals with experience in data science, fraud investigation, and advanced analytics to work in a fast-paced and innovative financial technology environment.
Key Responsibilities
✔ Fraud Detection & Analysis: Analyze large datasets to identify patterns of fraud and take necessary preventive measures.
✔ Machine Learning Models: Design, implement, and deploy machine learning models for fraud detection and prevention.
✔ Customer Collaboration: Work closely with PayPal’s large and strategic customers to consult on fraud prevention strategies and enhance risk solutions.
✔ Product Optimization: Improve fraud detection models and risk assessment tools for optimal accuracy and efficiency.
✔ Data-Driven Insights: Provide actionable business recommendations to executive teams using data-driven insights.
✔ Process Improvement: Drive innovation by designing data-driven solutions and process improvements.
✔ Cross-Functional Coordination: Collaborate with engineering, risk, and product teams to develop cutting-edge fraud prevention technologies.
✔ Reporting & Documentation: Present findings and strategies to stakeholders at various levels.
✔ Compliance & Regulations: Stay updated with risk and compliance guidelines in fintech and digital payments.
✔ Product Deployment: Assist engineering teams in integrating new fraud detection features into PayPal’s payment platform.
Skills & Qualifications
Mandatory Requirements:
✔ Educational Background: Bachelor’s Degree in Computer Science, Engineering, Mathematics, Statistics, Data Mining, or a related field (or equivalent practical experience).
✔ Industry Experience: Minimum of 4 years of experience in advanced data analysis, risk & fraud investigation, or fintech.
✔ Technical Expertise: Strong experience with Python and SQL for data manipulation and analysis.
✔ Machine Learning Knowledge: Proficiency in ML concepts such as regression, classification, anomaly detection, and clustering.
✔ Fraud Investigation Experience: Hands-on experience in fraud risk assessment and mitigation strategies.
✔ Analytical Thinking: Strong ability to use data-driven methodologies to make business decisions.
✔ Database Knowledge: Understanding of database structures, Unix/Linux for data extraction and manipulation.
✔ Process Optimization: Demonstrated ability to streamline workflows and improve processes in a data-driven environment.
✔ Problem-Solving Skills: Ability to work in high-pressure situations and quickly solve complex problems.
✔ Collaboration Skills: Strong team player with excellent communication and interpersonal skills.
Preferred Qualifications:
✔ Higher Education: MS/PhD in Computer Science, Data Science, Mathematics, Statistics, or a related field.
✔ Fintech & eCommerce Experience: Previous experience in eCommerce, online payments, digital banking, or risk/fraud management.
✔ Project Management: Experience managing cross-functional projects with a high level of attention to detail.
✔ Big Data Technologies: Knowledge of Hadoop, Spark, Tableau, or other data visualization tools.
✔ Product Development: Experience in developing AI-driven fraud prevention systems.
✔ Communication & Leadership: Ability to present insights to executive stakeholders and influence decision-making.
Why Join PayPal?
PayPal is a leader in digital payments, committed to providing innovative financial solutions that empower individuals and businesses worldwide. By joining our Risk as a Service team, you will be working on cutting-edge fraud detection technologies and shaping the future of secure online transactions.
Perks & Benefits:
🌟 Competitive salary and performance-based incentives
🌟 Opportunity to work in a globally recognized fintech company
🌟 Continuous learning and career development opportunities
🌟 Health, wellness, and financial benefits
🌟 Collaborative and inclusive work environment
🌟 Flexible work culture with a hybrid work model
About PayPal
PayPal is a globally recognized leader in digital payments, providing seamless financial solutions to millions of users across 200+ countries and territories. With a commitment to security, innovation, and financial inclusion, we continue to revolutionize online transactions, making them fast, secure, and convenient.
At PayPal, we believe in empowering individuals and businesses by enabling financial freedom through advanced technology. We are committed to fostering a culture of innovation, integrity, and inclusivity, ensuring that every employee contributes to shaping the future of digital finance.
Join us in our mission to redefine the way the world manages money! 🚀
How to Apply?
Interested candidates can apply directly through the PayPal careers portal. Click on the Apply Now button to submit your resume.
🔹 Application Deadline: Rolling basis (Apply ASAP!)
🔹 Hiring Process: Shortlisted candidates will be contacted for a screening interview, followed by technical and final managerial rounds.
🔹 Location Preference: This role is based in Hyderabad, India.
Conclusion
This Data Scientist position at PayPal offers an exciting opportunity to work on high-impact fraud prevention systems and collaborate with industry experts in data science and risk management. If you have the skills and experience to drive innovation, security, and financial integrity, we encourage you to apply.
Start your fintech career with PayPal and make a real impact in the world of digital payments! 💡💰
👉 Apply Now!
