Sr Data Scientist

Job Description

PayPal – Data Scientist (5+ Years Experience) Job Description (JD)
Company

PayPal is a global digital payments company operating in over 200 markets, providing secure payment solutions for consumers and businesses. The company offers a hybrid work environment, strong employee benefits, and opportunities to work on large-scale AI and data science problems.

Job Title

Data Scientist

Experience Required
Minimum 5+ years of relevant experience
Bachelor’s degree (or equivalent practical experience)
Job Summary

PayPal is seeking an experienced Data Scientist to lead the development and implementation of advanced data science models and algorithms. The role involves collaborating with business stakeholders, ensuring data quality, mentoring junior team members, and driving data science best practices to deliver business value.

Key Responsibilities
Lead the development and implementation of advanced data science models.
Collaborate with business stakeholders to gather requirements and translate them into analytical solutions.
Develop predictive models and data-driven insights for business problems.
Establish and promote best practices in data science and analytics.
Ensure high standards of data quality, integrity, and governance.
Mentor and guide junior data scientists and support team development.
Stay current with emerging trends, technologies, and methodologies in data science.
Required Qualifications
Bachelor’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related quantitative field (or equivalent experience).
Minimum 5 years of professional experience in Data Science or related roles.
Strong analytical and problem-solving skills.
Experience building and deploying machine learning or statistical models.
Ability to work with cross-functional business and technical teams.
Strong communication and stakeholder management skills.
Preferred Skills
Machine Learning and Predictive Analytics
Python, R, SQL
Statistical Modeling
Data Visualization
Data Quality & Governance
Business Analytics
Mentoring and Technical Leadership
Cloud platforms (AWS, Azure, or GCP) are advantageous.
Work Model
Hybrid
3 days in office
2 days work from home
Employee Benefits
Competitive compensation
Employee stock options
Health and life insurance
Flexible work environment
Wellness and mental health programs
Career growth and learning opportunities
Soft Skills
Leadership
Communication
Collaboration
Problem-solving
Mentoring
Continuous learning mindset
Ideal Candidate

A professional with 5+ years of experience in data science who can independently lead analytics projects, build advanced models, collaborate with stakeholders, mentor junior engineers, and contribute to PayPal’s data-driven products and business decisions.