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Fraud Senior Data Scientist - WEX
Data Scientist
Senior Data Scientist focused on fraud risk, leveraging Python, machine learning, and statistical modeling to build predictive models and analytics that drive proactive risk management.
About the role
Key Responsibilities
- Design, develop, and deploy machine learning models to detect and prevent fraud across payment and credit products.
- Analyze large, heterogeneous data sets to uncover fraud patterns and inform risk scoring algorithms.
- Collaborate with cross‑functional teams to integrate fraud models into real‑time decision engines.
- Perform model validation, monitoring, and continuous improvement to maintain high detection accuracy.
- Communicate findings and model insights to stakeholders through clear visualizations and reports.
Requirements
- 5+ years of data science experience in fraud or risk analytics.
- Proficiency in Python, SQL, and statistical/machine learning libraries (scikit‑learn, XGBoost, etc.).
- Strong background in statistical modeling, feature engineering, and model evaluation.
- Experience with large‑scale data processing and cloud platforms (e.g., AWS, Azure).
- Excellent problem‑solving skills and ability to translate business requirements into technical solutions.
Skills
pythonmachine learningsql