Data Scientist
Confirmed on the employer's own hiring board on Oct 11, 2026. First seen by Alion on Sep 25, 2026. Mastercard scores B on the Alion truth index.
Join our Cyber Analytics team as a Data Scientist, where you will drive advanced analytics initiatives, improve fraud detection capabilities, and support strategic decision-making in cybersecurity and payment fraud. You will build and maintain innovative data-driven analytical solutions, handle large datasets, and collaborate with cross-functional teams. A strong background in data science, experience in the payments or cybersecurity industry, and excellent communication skills are required.
Missions
- Acquérir une connaissance approfondie de la sécurité des applications web, des vulnérabilités cybernétiques et des méthodes de fraude en ligne.
- Construire, développer et maintenir des solutions analytiques innovantes basées sur les données, y compris des modèles prédictifs et des algorithmes d'apprentissage automatique.
- Collaborer avec des équipes interfonctionnelles pour comprendre les produits, l'utilisation et les pipelines de données, et livrer des solutions évolutives.
Profil recherché
- Self-starter with passion for solving problems- Strong work experience in data science, ideally in the payments- or cybersecurity-related industry
- High energy level; flexible, adaptive and strong collaborator
- Experienced in building statistical and machine learning models in Python and working with large-scale distributed data processing frameworks, such as Apache Spark, Hadoop and Databricks
- Previous experience with graph database and graph machine learning including graph neural network
- Excellent communication skills
- Bachelor’s or Master’s degree in Data Science, Computer Science, Information Technology, Engineering, Mathematics, Statistics, or similar fields
- Passion for cybersecurity and profound interest in learning new tools, threat vectors, attack techniques, technologies, and best practices in preventing cybersecurity incidents
- Well planned, organized & structured to manage time & work effectively
- Experienced in data management and data mining with SQL, optimizing performance, building data pipelines, and quantitative analysis