Want to get hired at PayPal?
Sr Data Scientist
PayPal
Bangalore, Karnataka, IndiaOn Site
Original Job Summary
About PayPal
PayPal has been revolutionizing commerce globally for over 25 years, empowering consumers and businesses through innovative payment solutions worldwide.
Position Overview: Sr Data Scientist
The Global Fraud Prevention team is seeking a Sr Data Scientist to drive fraud prevention strategies for PayPal Credit products. This role involves designing advanced data science models, collaborating with cross-functional teams, and mentoring junior staff.
Essential Responsibilities
- Lead development and implementation of advanced data science models.
- Collaborate with stakeholders and drive data science best practices.
- Ensure data quality and integrity across all processes.
- Mentor junior data scientists and communicate complex insights.
- Monitor and optimize fraud risk solutions.
Minimum Qualifications
- Bachelor’s degree in a quantitative discipline.
- 5+ years of relevant work experience.
Preferred Qualifications & Impact
- Proficiency in Python, R, SQL, Excel, PowerPoint & Word.
- Experience in credit or fraud risk analytics.
- Ability to design fraud prevention strategies and manage risk.
Team & Work Arrangement
This position supports a balanced hybrid work model, with 3 days in the office and 2 days flexible.
Key skills/competency
- data science
- fraud prevention
- risk management
- Python
- SQL
- R
- analytics
- modeling
- mentoring
- hybrid
How to Get Hired at PayPal
🎯 Tips for Getting Hired
- Customize your resume: Highlight fraud analytics and Python skills.
- Research PayPal: Understand their mission and global impact.
- Prepare examples: Showcase risk management projects and results.
- Practice interviews: Emphasize data science and teamwork experiences.
📝 Interview Preparation Advice
Technical Preparation
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Review Python and R data libraries.
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Practice SQL queries on large datasets.
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Study risk modeling techniques.
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Experiment with fraud analytics projects.
Behavioral Questions
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Describe a challenging project collaboration.
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Explain your problem-solving approach.
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Discuss handling conflicting priorities.
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Share a mentorship experience.