Data Scientist

Join Mastercard as a Senior Data Scientist, where you'll work on mission-critical projects that shape the future of our offers platform. You'll develop, validate, and deploy machine learning models, perform exploratory data analysis, and communicate findings to stakeholders. This role requires a strong foundation in both data science and data engineering, with hands-on experience in traditional machine learning frameworks, SQL, and Python. Enjoy benefits such as a gym membership, pension plan, share purchase options, and work-from-home opportunities.

• Développer, valider et déployer des modèles d'apprentissage automatique pour des cas d'utilisation commerciale.
• Effectuer une analyse exploratoire des données (EDA) pour découvrir des tendances, des motifs et des insights.
• Construire et maintenir des pipelines de données évolutifs (ETL/ELT) et travailler avec de grands ensembles de données dans des environnements distribués.
• Are you passionate about building scalable, high-performance data platforms that power personalized experiences for millions of users? Do you thrive in a fast-paced environment where innovation and collaboration drive success? Join the Loyalty group at Mastercard, where we connect anonymized transaction data with a robust advertising network to deliver highly personalized card-linked offers
• We are looking for a Data Scientist with a strong foundation in both data science and data engineering. This role requires someone who can not only build predictive models but also design, develop, and maintain scalable data pipelines and infrastructure. You will work cross-functionally to turn data into actionable insights and production-ready solutions
• Multiple years of professional experience in data science and/or data engineering roles
• Solid understanding of statistics and probability
• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field
• Hands-on experience with traditional machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
• Strong programming skills in SQL and Python is required
• Experience building data pipelines using tools like Airflow and Spark
• Cloud & Big Data Technologies (Spark, Hadoop)
• Data Engineering & Pipeline Development
• SQL & Data Manipulation
• Machine Learning & Statistical Modeling
• Strong communication skills
• Problem-solving and critical thinking