Sr Data Scientist
@ PayPal

Bangalore, Karnataka, India
On Site
Full Time
Posted 3 days ago

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Job Details

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
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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

Review Python and R data libraries.
Practice SQL queries on large datasets.
Study risk modeling techniques.
Experiment with fraud analytics projects.

Behavioral Questions

Describe a challenging project collaboration.
Explain your problem-solving approach.
Discuss handling conflicting priorities.
Share a mentorship experience.

Frequently Asked Questions