Sr Data Scientist

PayPal

Hybrid

Quick summary

Work type: Hybrid
Location: Chicago, IL
Salary: $130,500–$193,600 / yr
Posted: 25 days ago

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $154k

This role $162k

$97k most similar roles pay here $229k

This role pays more than 56% of similar roles. Most pay $126,800–$181,855 — the shaded band above. At the midpoint, this role pays about $162k 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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As a Senior Data Scientist on the Fraud Risk team at PayPal, you will lead the development and implementation of advanced data science models to mitigate fraud risks across various business areas including card risk strategies and payment processing. Your day-to-day responsibilities include collaborating with stakeholders such as Credit Risk and Product teams to optimize fraud prevention strategies, identifying emerging trends, and proposing mitigation measures. You will also maintain monitoring systems and present regular updates on portfolio health to senior leaders. The role requires proficiency in SQL, Python, Tableau, and advanced Excel, along with strong problem-solving skills and the ability to communicate complex technical insights effectively across diverse teams. Experience in payments or transaction risk management is highly beneficial for this impactful position at a global scale.

Skills

Python SQL Tableau Excel CI/CD KPI reporting Payments risk management Transaction risk management Credit risk Fraud risk AWS Azure Google Cloud Platform PostgreSQL MongoDB Scikit-learn Pandas NumPy Jupyter Notebook Git

What you'll do

Own and manage the end-to-end process for fraud risk policies.
Identify emerging fraud trends and propose effective mitigation strategies.
Develop and maintain monitoring and alerting systems for portfolio health.
Present regular updates on portfolio performance to senior leaders.
Analyze risks and provide strategic recommendations for mitigation.

What we're looking for

4+ years of experience in payments/transaction risk management or fraud risk.
Strong problem-solving skills with strategic and practical thinking.
Advanced analytics expertise using SQL, Python, Excel, Tableau.
Excellent communication skills for diverse audiences.
Proven ability to collaborate across teams and influence results.
Experience in developing and implementing fraud prevention strategies.

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