Senior Data Scientist

PayPal

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Chicago, IL
Salary
$130,500–$193,600 / yr
Posted
7 days ago
Freshness
Confirmed live today
Closes
Apr 18, 2027

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $173k
This role $162k
$107k $236k
below market most similar roles pay here above 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.

Most-posted roles

View all roles at PayPal

At a glance

TL;DR · Senior Data Scientist

JOB TITLE: Sr Data Scientist The Sr Data Scientist will join the team to lead the development and implementation of advanced data science models and algorithms. This role involves collaborating with stakeholders to understand requirements, ensuring data quality, and mentoring junior scientists while driving best practices. You will conceive, design, and monitor risk management strategies to manage fraud losses and improve business profitability for consumer credit products. You will utilize large, complex datasets to identify gaps in fraud risk controls and formulate solutions that balance user experience with loss exposure. The role requires proficiency in Python and SQL, along with a background in Mathematics, Statistics, Operations Research, Finance, or Economics. You will communicate complex findings to technical and non-technical audiences to solve critical fraud prevention problems.

What does a Data Scientist earn?

Median $173200 from 338 postings across 66 companies.

See salary data

What you'll do

  • Lead the development and implementation of advanced data science models and algorithms.
  • Conceive, design, and monitor risk management strategies to manage fraud losses for credit products.
  • Identify gaps in fraud risk controls and adapt to evolving fraud trends.
  • Formulate solutions to balance user experience, business enablement, operational expense, and loss exposure.
  • Communicate complex findings and strategy recommendations to both technical and non-technical audiences.
  • Monitor and optimize the performance of existing and new data science solutions.
  • Mentor and guide junior data scientists while ensuring data quality and integrity.
  • Utilize large, complex datasets to make data-driven decisions and answer business questions.

What we're looking for

  • Bachelor’s degree or higher in Mathematics, Statistics, Operations Research, Finance, Economics, or a related quantitative discipline.
  • 3+ years of relevant experience or an equivalent combination of education and experience.
  • 3+ years of proven credit or fraud risk analytics experience.
  • Proficiency in Python and SQL.
  • Strong written, oral, and interpersonal skills, including the ability to present analysis to technical and non-technical audiences.
  • Ability to work with leadership and stakeholders to define project scope and drive large pieces of work independently.
  • Ability to maintain a flexible work schedule to collaborate with teams across multiple time zones.
  • Intuitive, organized analytical thinker with exceptional problem-solving skills and good business judgment.

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