below marketmost similar roles pay hereabove market
This role pays more than
52%
of similar roles. Most pay
$136,950–$208,800
— the blue band above.
At the midpoint, this role pays about
$162k
versus about
$173k
for comparable roles.
Based on 240 similar postings.
Employer
About PayPal
PayPal is a leading global digital wallet and online payment system, founded in 1998, that allows individuals and businesses to send, receive, and manage funds securely in over 200 markets.
PayPal currently has
96 open roles
on FindRole.
Listed pay typically runs
$160,500–$259,158
across 91 roles with salary data.
The Sr Data Scientist will join the Global Collections Strategy team to develop innovative, data-driven collections tools and strategies. The role focuses primarily on Venmo BNPL while supporting other products including Wallet, Credit Card, and Merchant Lending. You will build scalable, reusable solutions for portfolio measurement, A/B testing, and performance analysis by transforming complex data into actionable insights. Key responsibilities include leading the development of advanced data science models, mentoring junior staff, and collaborating with stakeholders across Credit Strategy, Fraud, and Operations. You must demonstrate proficiency in SQL, Python, AI, and advanced analytics, alongside skills in Excel, statistical analysis, and PowerPoint. This position solves business problems by balancing operational efficiency and risk through experimental design and test-and-learn methodologies to optimize global collections performance.
What does a Data Scientist earn?
Median $173200 from 338 postings across 66 companies.
Develop and implement advanced data science models for Venmo BNPL and other PayPal products.
Use SQL, Python, and AI to build scalable solutions for portfolio measurement and A/B testing.
Transform complex data into actionable insights and practical business strategies for collections.
Build business cases to evaluate costs, risks, benefits, and trade-offs for various strategies.
Present complex analytical findings and recommendations clearly to senior management via PowerPoint.
Mentor and guide junior data scientists while driving best practices in data science.
Ensure data quality and integrity across all analytical processes and models.
What we're looking for
3+ years of relevant experience and a Bachelor’s degree or an equivalent combination of education and experience.
Bachelor’s degree with at least six years of relevant professional experience, or a master’s degree with at least five years of relevant experience (preferred).
Strong data science and analytical skills to structure complex analyses and build business cases (preferred).
Advanced proficiency in SQL and Python with experience working with large and complex datasets (preferred).
Proficiency in Excel, statistical analysis, data visualization, and PowerPoint (preferred).