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

As a Senior Data Scientist at PayPal in Chicago, you will join the Fraud Prevention team to tackle complex data challenges by applying advanced analytical and technical skills. Your daily tasks include designing sophisticated real-time risk assessment solutions that balance organizational loss appetite with user experience metrics, while also conducting A/B testing and creating comprehensive data visualization dashboards for stakeholders. You will work closely with Product Management and Engineering teams to support new product launches and develop robust fraud detection models using statistical methodologies. Essential skills include proficiency in Python, SQL, BigQuery, Tableau, Hadoop, Hive, Jupyter Notebooks, and GitHub, along with experience in financial analysis and data mining. This role requires a Master’s degree or equivalent work experience and offers the opportunity to mentor junior analysts while staying abreast of evolving fraud methodologies and industry regulations.

What you'll do

  • Develop and implement real-time risk assessment solutions for fraud prevention.
  • Design statistical models to transform transactional data into actionable insights.
  • Conduct A/B testing to evaluate the effectiveness of fraud detection models.
  • Create comprehensive data visualization dashboards for key risk metrics tracking.
  • Perform root cause analysis on security breaches, identifying systemic vulnerabilities.
  • Mentor junior analysts in advanced statistical techniques and fraud methodologies.

What we're looking for

  • Master’s degree in Data Science, Information Systems, or related field plus 2 years of experience.
  • Expertise in SQL, Python, and statistical analysis for data-driven decision-making.
  • Proficiency with BigQuery, Tableau, Hadoop, Hive, and Jupyter Notebooks for data management.
  • Experience in financial analysis, fraud detection, and risk assessment methodologies.
  • Strong skills in data mining, cleaning, and visualization to support product initiatives.

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