PayPal Senior Data Scientist - Dublin 

Ireland, Dublin 

994269919

What you need to know about the role:As a Senior Data Scientist, you’ll partner with cross-functional teams to turn complex data into actionable insights that drive key strategic decisions and safeguard the business. You’ll work across areas such as fraud risk, customer experience, and operational performance to identify trends, build scalable analytics solutions, and influence stakeholders at all levels.You will be part of a dynamic, mission-driven analytics organization that spans fraud and risk monitoring, business intelligence, and operational performance. In this collaborative environment, you’ll engage with data scientists and engineers who build our platforms, product owners who define strategic initiatives, compliance and finance experts who guide risk and regulatory measures, and operations leads who implement process improvements. Together, you’ll harness data to protect the company, optimize the customer journey, and drive efficiency at scale.

Job Description:

In this role, you will spearhead analytics initiatives that shape strategic direction, driving growth, profitability, and risk mitigation. You will design, validate, and monitor predictive models and business rules to uncover actionable insights, while delivering data-backed recommendations on new products, policy changes, and operational improvements. By translating complex analyses into clear narratives and intuitive dashboards, you will influence decision-making at all levels and partner closely with stakeholders to ensure analytics solutions are aligned with evolving business needs and deliver measurable impact at scale.

Day‑to‑Day Responsibilities

• Analyse large, complex datasets to identify patterns, anomalies, and opportunities.

• Monitor key metrics (e.g., fraud rates, loss ratios, customer KPIs) and develop forecasting models.

• Define requirements and collaborate with data engineering and data science teams on data pipelines, model deployments, and platform enhancements.

• Design and maintain dashboards and reports (e.g., in SQL, BI tools) to inform real-time decision-making.

• Partner with global stakeholders to align analytics priorities and measure impact against targets.

What You’ll Bring

• 6+ years in data science or a related field, preferably within fintech, e‑commerce, or financial services.

• Technical Skills:

• Proficiency in SQL and Python (or R) for data querying, analysis, and automation

• Familiarity with BI tools (e.g., Tableau, Looker, Power BI) and cloud data platforms (e.g., BigQuery, Snowflake)

• Understanding of fundamental statistical and machine learning concepts (e.g., regression, classification, clustering)

• Domain Knowledge:Exposure to fraud prevention, risk modelling, or operational analytics is a plus.

• Communication:Strong ability to distill complex data into compelling insights and influence stakeholders.

• Collaboration:Proven track record of working effectively in cross‑functional teams to deliver measurable business outcomes.

• Education:Bachelor’s degree in a quantitative discipline (e.g., Statistics, Mathematics, Computer Science, Economics) or equivalent experience; advanced degree a plus.

Our Benefits:

Any general requests for consideration of your skills, please