About this role
The Enterprise Technology Services organization partners with every part of the American Express business to power the company’s growth and innovation with trust and efficiency, and drive competitive differentiation with speed. We support the delivery and operations of technology, digital, and data capabilities, platforms, and services globally. Specifically, our team is responsible for the company’s technology engineering, architecture, and infrastructure, providing 24x7 support to ensure an uninterrupted, high-quality experience for customers and colleagues. We also provide product management for core enterprise platforms, and lead technology risk and information security, enterprise data governance and platforms, digital product and design, and enterprise AI platforms on behalf of the company.
Minimum Qualifications:
- Bachelor’s degree in computer science, data science, statistics, mathematics, cybersecurity, engineering, or a related field, or equivalent practical experience.
Five or more years of experience in data science, machine-learning engineering, cybersecurity analytics, or applied AI.
- Practical experience developing and evaluating classification or detection models.
Strong Python skills and experience with common data-science and ML libraries such as pandas, scikit-learn, PyTorch, TensorFlow, or Hugging Face Transformers.
Strong understanding of:
- Training, validation, holdout, out-of-sample, and out-of-time testing,
- Sampling, labeling, data quality, class imbalance, and statistical evaluation,
- Classification metrics, model thresholds, drift detection, and ongoing monitoring,
- Model limitations, compensating controls, and production fallback strategies,
- Experience deploying or integrating ML models through APIs, containers, Kubernetes, or CI/CD pipelines. Ability to produce rigorous technical and governance documentation.
- Strong written and verbal communication skills, including the ability to respond to independent model reviewers and auditors.