Data Scientist

Data Scientist – Sanctions Risk at PayPal

Get AI-powered advice on this job and more exclusive features.

Job Description Summary
Overview: As a Data Scientist – Sanctions Risk, you’ll help advance PayPal’s global sanctions screening capabilities. Using data science, machine learning, and big data technologies, you’ll improve detection accuracy, optimize screening performance, and reduce operational friction — supporting PayPal’s commitment to compliance, scalability, and customer trust.

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 latest trends in data science.

Expected Qualifications

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

Additional Responsibilities And Preferred Qualifications

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, Power BI, strong analytical and problem-solving skills.

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

Excellent written and verbal communication skills, able 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.

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at paypalglobaltalentacquisition@paypal.com.

Seniority Level
Not Applicable

Employment Type
Full-time

Job Function
Engineering and Information Technology

Industries
Software Development, Financial Services, and Technology, Information and Internet

Location: Dublin, County Dublin, Ireland

#J-18808-Ljbffr