Data Scientist II-3
Core
Building and deploying innovative AI/ML solutions for Mastercard's global payments network, focusing on fraud risk management, anti-money laundering, cybersecurity, and recommendation engines.
Role type
Mid-to-senior individual contributor data scientist (AI/ML focus)
Builds
Production AI/ML applications and models for internal divisions and core payment products
Domain
Financial services, digital payments, big data analytics
Deliverable
production ML models
Required skills
AI/ML application development, business problem definition, deep learning algorithms, statistical analysis, Python, R, SQL, big data platforms (Hadoop, Hive, Spark), classical machine learning (Logistic Regression, Decision Trees, Clustering, Bayesian models, Time Series), recommender systems
Preferred skills
Kaggle competition experience, GPU cluster usage, advanced deep learning (CNN, LSTM, GRU, NLP, Speech/Image processing), optimization techniques, TensorFlow, Keras, PyTorch, XGBoost, Caffe, Theano
Technologies
Python, R, SQL, Hadoop, Hive, Spark, TensorFlow, Keras, PyTorch, XGBoost, Caffe, Theano
Responsibilities
Define business problems, link AI methodologies to challenges, develop AI/ML applications, execute AI agenda cross-functionally
Seniority
Mid-level, hands-on technical execution with strategic alignment
