Quick summary
- Work type
- Hybrid
- Location
- Chicago, IL
- Salary
- $119,558–$199,500 / yr
- Posted
- 11 days ago
- Freshness
- Confirmed live yesterday
- Closes
- Mar 22, 2027
- Nearby
- 99+ roles within 25 mi
Market check
Salary context
How this pay compares to similar roles
This role pays less than 58% of similar roles. Most pay $135,000–$198,000 — the shaded band above. At the midpoint, this role pays about $160k versus about $166k 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 67 open roles on FindRole.
Listed pay typically runs $160,500–$238,700 across 63 roles with salary data.
Most-posted roles
- Software Engineer 41
- Product Security Engineer 4
- Lead Product Manager 3
- Cloud Database Engineer 2
- Database Engineer 2
At a glance
TL;DR · Senior Data Scientist
As a Sr Data Scientist, you will join the team to design, develop, and maintain data-driven solutions for LE risk management. You will be responsible for balancing risk, user experience, and financial performance while automating tracking functionality to monitor volume and solution efficacy. Your daily work involves performing data analysis, monitoring, forecasting, and creating logic for risk rules and strategies. You will collaborate with cross-functional teams and provide requirements to technology teams regarding attributes, models, and platforms. To succeed in this role, you must possess skills in predictive modeling, data mining, and analyzing large, multi-dimensional datasets. The required technical toolkit includes SQL, R, Python, and experience with relational database management systems along with tools like Jupyter, Hadoop/Hive, or Big Query. You will apply these skills to solve complex business problems within the financial risk analysis domain.
What does a Data Scientist earn?
Median $162000 from 278 postings across 59 companies.
What you'll do
- Design, develop, and maintain data-driven solutions for loss escalation risk management.
- Balance risk mitigation with user experience and financial performance goals.
- Automate tracking functionality to monitor volume and solution efficacy.
- Provide requirements to data science and technology teams regarding attributes, models, and platform needs.
- Create logic and implement risk rules and strategies based on data analysis and forecasting.
- Manage conversion rates, loss targets, and overall customer experience metrics.
- Present core strategy changes and risk management best practices to senior management and external partners.
What we're looking for
- A Master's degree in Data Science, Business Analytics, or a related field is required with two years of experience.
- A Bachelor's degree in Data Science, Business Analytics, or a related field is accepted with three years of experience.
- Must have at least 2 years of experience in predictive modeling, data mining, and analyzing large, multi-dimensional data sets.
- Must have at least 2 years of experience with SQL and R.
- Must have at least 1 year of experience with Python.
- Experience with relational database management systems is required.
- Must have at least 2 years of experience with Jupyter, Hadoop/Hive, or Big Query.
- Must have at least 2 years of experience in financial risk analysis.
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