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Principal Associate, Data Scientist - Global Payments Network Data - Information Technology Senior Management Forum
Data Scientist
Lead advanced data science initiatives for a global payments network, driving predictive modeling, statistical analysis, and data architecture to personalize credit card offers at scale using Python, SQL, and machine learning techniques.
About the role
Key Responsibilities
- Design and implement end‑to‑end statistical and machine learning models to personalize credit card offers for millions of customers.
- Collaborate with data engineering teams to build scalable data pipelines and maintain a robust relational database environment.
- Conduct exploratory data analysis, feature engineering, and model validation to ensure high predictive accuracy and business impact.
- Translate complex analytical findings into actionable insights for product, marketing, and risk teams.
- Mentor junior data scientists and promote best practices in model governance and reproducibility.
Requirements
- 10+ years of experience in data science, with a strong focus on statistical modeling and machine learning.
- Proficiency in Python, SQL, and experience with large‑scale data processing frameworks.
- Deep understanding of credit card and payments data, including fraud detection and risk scoring.
- Excellent communication skills and ability to present technical concepts to non‑technical stakeholders.
- Experience with cloud platforms (e.g., AWS) and modern data architecture is a plus.
Skills
pythonsqlmachine learning