Sr Data Scientist

PayPal

Hybrid Actively hiring Verified listing
Chicago, IL Posted 9 days ago $142,210$221,500 / year

At a glance

AI generated

TL;DR

Senior Data Scientist role at PayPal in Chicago, focusing on credit risk management for the Bill Me Later product. This position involves applying advanced statistical techniques and machine learning algorithms to complex datasets to predict risk and revenue, driving actionable business insights. Daily tasks include designing predictive models, refining valuation frameworks, and collaborating with cross-functional teams to enhance underwriting processes and optimize portfolio performance. Key skills required are Python (pandas, numpy, sklearn), SQL (Google BigQuery, Teradata), machine learning model development and deployment, A/B testing, and data visualization tools like Tableau. The role demands expertise in credit risk analytics, profit & loss analysis, and database management with big data technologies such as Hadoop and Hive.

Skills

Python pandas numpy sklearn SQL Google Big Query Teradata Tableau Amplitude Hadoop Hive Machine learning Predictive analytics Credit risk management Data visualization Database management A/B testing Profit & Loss analytics Big data Cloud services

What you'll do

  • Apply advanced statistical techniques and algorithms on complex datasets for risk prediction.
  • Design and refine a valuations framework to extend credit with a comprehensive view of NPV.
  • Enhance underwriting and optimize credit portfolio performance by working across teams.
  • Identify emerging risks or opportunities and propose effective mitigation strategies.
  • Establish detailed KPI tracking to monitor the health of the credit card program.

What we're looking for

  • Master’s degree in a quantitative field and three years of credit risk analytics experience.
  • Expertise in predictive analytics, machine learning model development and deployment.
  • Proficiency in Python for data analysis with pandas, numpy, and sklearn packages.
  • Experience in SQL tools like Google Big Query and Teradata for data retrieval.
  • Strong skills in experimental design including A/B testing and P&L analytics.
  • Knowledge of credit risk management, bureau analytics, and database management.

Market check

Salary context

This $142,210–$221,500 range sits above 77% of similar postings on FindRole.

Peer median band

$99,000$206,320

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$126,800$178,175

Middle half of comparable postings.

Based on 240 comparable postings.

* 240 is the maximum number of comparable postings sampled.

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 86 open roles on FindRole.

Listed pay typically runs $160,500–$237,600 across 86 roles with salary data.

Most-posted roles

View all roles at PayPal

More like this

Similar roles

Data Scientist

Adobe

San Jose, US 74 days ago $138,600$200,700
SQL Python R Tableau Power BI Excel Power Pivot CI/CD AWS Kubernetes Docker Git Jupyter Notebook Scikit-learn TensorFlow Pandas NumPy Matplotlib Seaborn Statistical Modeling

Data Scientist

P&G

Cincinnati General Offices, US 56 days ago $85,000$122,200
Python scikit-learn PyTorch TensorFlow Pandas OpenCV GCP Azure Git CI/CD DevOps Cloud Computing Machine Learning Optimization Simulation Generative AI Agentic AI

Data Scientist

The Hartford

US 63 days ago $90,160$135,240
Python R SQL Snowflake Git Machine Learning Statistical Modeling CI/CD AWS Kubernetes Terraform Prometheus Grafana

Data Scientist

Booz Allen Hamilton

US 63 days ago $77,600$176,000
Python R AWS CI/CD

Data Scientist

Booz Allen Hamilton

Locations Edgewood, Maryland, US 36 days ago $77,600$176,000
Python R Spark Hadoop Kafka MapReduce MySQL SharePoint Power Apps Advana Vantage

Data Scientist

Booz Allen Hamilton

US 58 days ago $112,800$257,000
Python R SQL Hadoop Spark Kafka EMR AWS Azure Google Cloud Plotly Seaborn ggplot2 Tableau