Sr Data Scientist

PayPal

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, IL
Salary: $142,210–$221,500 / yr
Posted: 2 days ago
Closes: Jun 18, 2026

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $154k

This role $182k

$97k most similar roles pay here $235k

This role pays more than 75% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $182k versus about $154k 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 84 open roles on FindRole.

Listed pay typically runs $160,500–$235,826 across 84 roles with salary data.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Sr Data Scientist

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Senior Data Scientist position available in Chicago, IL for PayPal’s credit risk team. This role involves developing and implementing credit risk strategies for PayPal and Venmo credit card programs, ensuring alignment with governance structures while automating tracking functionalities to monitor performance. Responsibilities include testing new data sources, providing insights through monitoring and reporting, and conducting operational reviews with senior leadership. The ideal candidate has extensive experience in predictive analytics, experimental design, machine learning model development, P&L analysis, and credit bureau analytics within consumer lending. Proficiency in Python (pandas, numpy, sklearn), SQL tools like Google BigQuery and Teradata, data visualization tools such as Tableau, and database management with Hadoop and Hive is essential.

Skills

Python pandas numpy sklearn SQL Google Big Query Teradata Tableau Amplitude Q-monitor Hadoop Hive Stampy Big data cloud databases forecasting techniques A/B testing machine learning classification models regression models statistical analysis profit and loss analytics credit bureau analytics

What you'll do

- Develop and implement credit risk strategies for PayPal and Venmo credit card programs.
- Automate tracking functionality to monitor volume and strategy performance.
- Test new data sources to enhance credit risk decisions.
- Provide insights via monitoring and reporting using internal and external data.
- Conduct ongoing performance reviews with senior leadership team.

What we're looking for

Master’s degree in Data Science, Business Analytics or related field required.
4 years of experience in credit risk management and analytics for consumer lending.
4 years of predictive analytics expertise using classification models, regression analysis.
4 years of machine learning model development, deployment, optimization.
Proficient in Python (pandas, numpy, sklearn) and SQL tools (Google Big Query, Teradata).

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