Data Scientist - Sanctions Risk @ PayPal
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Job Overview
As a Data Scientist - Sanctions Risk at PayPal, you will advance global sanctions screening capabilities through data science, machine learning, and big data technologies. Your work will improve detection accuracy, optimize screening performance, and reduce operational friction while strengthening compliance and financial crime prevention.
Key Responsibilities
- Lead development and implementation of advanced data science models.
- Collaborate with stakeholders to convert requirements into data strategies.
- Drive best practices and ensure high data quality and integrity.
- Mentor junior data scientists and promote technical excellence.
- Stay updated on data science trends and regulatory changes.
Your Day-to-Day
- Enhance sanctions screening algorithms with data-driven insights.
- Implement solutions balancing precision and false positive reduction.
- Collaborate with advisory, product, and engineering teams.
- Modernize platforms using big data and ML-driven approaches.
- Conduct analytics, identify inefficiencies, and recommend improvements.
Required Qualifications
A Bachelor’s degree with a minimum of six years’ experience in sanctions screening, AML, or data analytics is required. Expertise in SQL, BigQuery, Python, R, Tableau, and Power BI is essential. Hands-on experience with Hadoop, Hive, and data warehouse technologies is a plus.
Preferred Qualifications
Advanced degree in Data Science or Statistics, experience with deploying ML models in production within regulated environments, and familiarity with explainable AI and model governance frameworks will be valued.
Work Environment & Benefits
This role follows a balanced hybrid model allowing 3 days in-office and 2 days remote. PayPal offers competitive benefits, a flexible work environment, employee share options, and comprehensive insurance plans.
Key skills/competency
- Data Science
- Machine Learning
- Sanctions Screening
- Compliance
- Big Data
- SQL
- Python
- Hadoop
- Analytics
- Regulatory
How to Get Hired at PayPal
🎯 Tips for Getting Hired
- Customize your resume: Highlight data science and compliance expertise.
- Showcase relevant projects: Include ML and big data examples.
- Prepare for technical questions: Practice SQL, Python, and model validation.
- Research PayPal culture: Understand their hybrid work model and values.