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

Senior Data Scientist position available in Chicago, IL at PayPal, where you will lead a global team of data scientists to develop and implement large-scale data science strategies aimed at combating fraud while balancing risk with user experience. Your daily responsibilities include overseeing the full lifecycle of solutions from research to production, evaluating platform performance, mentoring team members, and leveraging vendors for complementary bot mitigation. You will need expertise in large-scale fraud prevention, user identity risk management, device data collection, automation scripting, CAPTCHA evaluation, SQL analytics, coding with JSON objects, network protocols, BigQuery and Looker for data visualization, and log analysis platforms like Splunk. This role requires a Master’s degree plus 2 years of experience or a Bachelor’s degree plus 5 years in Computer Science, Engineering, Mathematics, Cybersecurity, or related fields.

What you'll do

  • Manage the creation of large-scale data science strategies to combat fraud.
  • Own and oversee the full lifecycle of solutions from research to production.
  • Evaluate platform performance, refining thresholds for false positives.
  • Translate team actions into measurable financial business impact.
  • Create automatic auxiliaries to enhance efficiency in calculation/reporting.
  • Lead the implementation of novel cyber-security technologies for bot mitigation.

What we're looking for

  • Master’s degree in Computer Science, Engineering, Mathematics, Cybersecurity or related field plus 2 years of experience.
  • Experience with large-scale fraud prevention and mitigation strategies.
  • Expertise in user identity risk management and balancing positive user experiences.
  • Proficiency in device data collection from web and mobile applications.
  • Skills in automation, scripting, bot detection, and CAPTCHA evaluation.
  • Strong coding skills in enterprise environments, including JSON objects.
  • Experience with SQL for complex dataset analysis and query optimization.

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