Sr Data Scientist
@ PayPal

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

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XXXXXXXXXX XXXXXXXXXXX XXXXXX******* @paypal.com
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Job Details

About Sr Data Scientist at PayPal

PayPal has been revolutionizing commerce globally for over 25 years by creating innovative, secure, and personalized payment solutions. The company connects hundreds of millions of merchants and consumers across approximately 200 markets worldwide.

Job Summary

This role will lead the development and implementation of advanced data science models and algorithms. You will work closely with stakeholders to understand requirements while mentoring junior scientists and driving best practices in data science.

Essential Responsibilities

  • Lead development and implementation of data science models.
  • Collaborate with stakeholders to capture requirements.
  • Drive data science best practices and ensure data quality.
  • Mentor and guide junior data scientists.
  • Stay updated on current trends in data science.

Minimum Qualifications

At least 5 years of relevant work experience with a Bachelor's degree or equivalent experience.

Work Environment & Benefits

PayPal offers a balanced hybrid work model (3 days in office, 2 days remote or office as chosen) and competitive benefits including employee share options, health and life insurance, and more.

Commitment to Diversity

PayPal provides equal employment opportunities and fosters an inclusive environment for all candidates.

Key skills/competency

  • Data Science
  • Machine Learning
  • Algorithms
  • Data Quality
  • Stakeholder Collaboration
  • Mentoring
  • Advanced Analytics
  • Hybrid Work
  • Innovation
  • Inclusion

How to Get Hired at PayPal

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills and experiences to data science roles.
  • Research PayPal: Understand PayPal's culture, mission, and values.
  • Highlight relevant projects: Showcase projects with data models and algorithms.
  • Prepare for technical interviews: Brush up on algorithms and data techniques.

📝 Interview Preparation Advice

Technical Preparation

Review machine learning algorithms.
Practice data modeling challenges.
Brush up on Python and SQL.
Study recent data science trends.

Behavioral Questions

Describe teamwork in challenging projects.
Explain handling conflicting stakeholder needs.
Discuss mentoring experiences effectively.
Share strategies for continuous learning.

Frequently Asked Questions