▷ [Apply Now] Manager, Data Science - Dublin

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In this role, you will own an end-to-end portfolio of PayPal products or markets, driving accountability for loss and decline rates while managing a small team of Data Scientists (3–6). You’ll collaborate with multiple stakeholders to design holistic fraud-prevention strategies, from initial data exploration through model deployment and performance monitoring. By striking a balance between speed and quality, you’ll ensure that our fraud-risk function makes a meaningful contribution to business growth, meeting key KPIs such as authentication rate targets and overall loss-rate objectives.
Day-to-Day Responsibilities
Portfolio Ownership: Lead a group of Data Scientists to manage fraud and loss metrics for assigned product lines or markets.

Strategy Development: Collaborate cross-functionally to develop and iterate on fraud-prevention frameworks that optimize transaction declines and minimize customer friction.

Model Lifecycle Management: Guide the team in data preparation, feature engineering, model training, and validation—leveraging Python/R and cloud-native platforms (e.g., BigQuery, Snowflake).

Stakeholder Alignment: Host regular syncs with Business Units, Risk Operations, and Compliance to ensure models and business rules remain aligned with evolving policy and regulatory requirements.

Performance Monitoring: Track model health (drift, false-positive/false-negative rates) and lead root-cause analyses for any anomalies or spikes in loss.

What You’ll Bring
8+ years of relevant experience working with large-scale, complex datasets, including at least 3 years managing a team of 3–6 Data Scientists in a fraud-risk or financial-services environment.

Proven ability to decompose ambiguous business requirements into a structured analytic plan and deliver data-driven recommendations.

Advanced proficiency in SQL and Python (or R) for data wrangling, EDA, and model development.

Expertise in exploratory data analysis and preparing clean, structured datasets for modelling

Hands-on experience applying supervised and unsupervised learning techniques (regression, classification, clustering, decision trees, anomaly detection).

Familiarity with production ML frameworks (scikit-learn, TensorFlow, PyTorch) and cloud data platforms (BigQuery, Snowflake).

Deep understanding of fraud-risk principles, including AML/KYC, regulatory compliance, and performance metrics (Precision, Recall, ROC-AUC).

Strong track record of partnering with engineers, product managers, and business leaders.

Excellent verbal and written communication skills, able to distill complex findings into clear narratives for both technical and non-technical audiences.

A passion for inventing new approaches to big, ambiguous problems—always looking to build novel solutions that stay ahead of evolving threat vectors.

Preferred Qualification:
Subsidiary: PayPal
Travel Percent: 0
For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.
Our Benefits:
At PayPal, we’re committed to building an equitable and inclusive global economy. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you. We have great benefits including a flexible work environment, employee shares options, health and life insurance, and more. To learn more about our benefits please visit.
Who We Are:
To learn more about our culture and community.
Commitment to Diversity and Inclusion
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 law. We also 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.
Belonging at PayPal:
Our employees are central to advancing our mission. We strive to create an environment where everyone can do their best work with a sense of purpose and belonging. We are proud of our diverse workforce and continue to take tangible actions to cultivate inclusivity and belonging at PayPal.
Any general requests for consideration of your skills, please .
We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

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