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Mastercard is looking to solve foundational business problems using Topological Data Analysis (TDA) and Machine Learning (ML) to provide insights and solutions for different business problems and improve business outcomes.

Requirements

• In-depth knowledge of topology, preferably topological data analysis
• Experience in predictive modeling, data science, and analysis in both batch and streaming settings.
• Proficiency in Python/R, Hadoop, Spark, MySQL with documentation for reproducibility.
• Experience in anomaly detection, supervised/unsupervised learning, time-series data, and natural language processing.
• Hands-on experience with ML tools such as Numpy, SciPy, Pandas, Scikit-learn, Tensorflow, Keras, NLTK, Gensim, BERT, NetworkX, etc.
• Proficient with data visualization and translating complex problems into actionable insights.
• Experience with entity resolution is a plus

Responsibilities

• Lead, design, develop, and deliver innovative solutions for various data science projects.
• Be responsible for documenting and articulating various data science projects across the organization following our engagement model, the Cross-Industry Standard Process for Data Mining (CRISP-DM).
• Present results in either peer-reviewed papers or presentations at scientific and business conferences
• Gain mastery of business operations and data needed to solve problem statements for specific projects.
• Pull and prepare data, train and test models, and be responsible for overall execution on projects using Mastercard operational and transaction data to glean insights for our partners.
• Present your approach to the solution and model output to various business partners.
• Maintain a current knowledge of advanced TDA as well as ML/AI tools and techniques.

Other

• Master's or PhD in Pure or Applied Mathematics, or an allied field
• Leadership experience, either in a business setting or the classroom
• Excellent oral and written communication skills.
• Ability to quickly pick up new tools and technologies.
• Need to build and maintain strong relationships with internal Mastercard partners