PayPal Data Scientist - Sanctions Risk 

Ireland, Dublin 

608161448

Essential Responsibilities:

• Lead the development and implementation of advanced data science models.
• Collaborate with stakeholders to understand requirements.
• Drive best practices in data science.
• Ensure data quality and integrity in all processes.
• Mentor and guide junior data scientists.
• Stay updated with the latest trends in data science.

Expected Qualifications:

• Minimum of 5 years of relevant work experience and a Bachelor's degree or equivalent experience.

Your Day-to-Day

• Lead data science initiatives that improve sanctions screening algorithms and optimize detection sensitivity.

• Design and implement data-driven solutions that balance detection precision and false positive reduction.

• Collaborate with advisory, product, and engineering teams to design frameworks supporting sanctions compliance.

• Translate regulatory requirements into actionable analytical frameworks and technical solutions.

• Modernize screening platforms using big data and ML-driven approaches to increase scalability and speed.

• Conduct advanced analytics and identify workflow inefficiencies, recommending actionable improvements.

• Collaborate with engineering teams to ensure deployment, monitoring, and continuous improvement in production systems.

What You Need to Bring

• Bachelor’s degree with a minimum of six years of experience in sanctions transaction screening, profile screening, or AML, including at least three years in data analytics or data science.

• Strong understanding of economic sanctions programs administered by OFAC, EU, UN, CSSF , etc., and associated adjacency risk.

• Proficiency in SQL, BigQuery, Python, R, Tableau, and Power BI, with strong analytical and problem-solving skills.

• Working knowledge of Hadoop, Hive, Jupyter Notebooks, and data warehouse technologies.

• Excellent written and verbal communication skills, with the ability to translate analytical insights into actionable business recommendations.

• Proven ability to manage multiple projects in a fast-paced, dynamic environment with independence and initiative.

Preferred

• Advanced degree in Data Science, Statistics, or a related field.

• Experience deploying and maintaining ML models in production within compliance or regulated environments.

• Familiarity with explainable AI, model validation, and governance frameworks.

Our Benefits:

Any general requests for consideration of your skills, please