Senior Data Scientist (AI, ML, Pyspark, SQL)

Our Purpose Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Senior Data Scientist (AI, ML, Pyspark, SQL) Overview The Business & Market Insights (B&MI) team within Mastercard's Services division creates products that help customers including financial institutions and merchants understand their customers and the market better. The B&MI Data Science team uses data from Mastercard transactions and other sources to build models and solutions that are needed for these products, at a globally scalable level across the different customer lifecycle stages. This role is for a Data Scientist that will work across Product, Client Services & Delivery, Data & Engineering and the broader teams, to deliver truly differentiated products driven by analytics & AI, leveraging rich data resources, AI platform capabilities and near real-time execution. We are developing multiple new products and capabilities using analytics & AI, and this role is central in that vision, from concept, technical design to market release and optimization. This role is positioned to drive new ideas forward by combining creative thought leadership with innovation and industry best practices. By entering in the early phase of a truly transformative and impactful strategic initiative, the experience is certain to be rewarding. This role requires the successful candidate to have the following: - 5-9 years of overall career experience in Data Science function supporting Products - Design, develop, and productionize machine learning and data science solutions that solve complex business problems within BMI. - Develop traditional ML solutions covering feature engineering, model training, validation, evaluation, and deployment. - Perform exploratory data analysis and translate complex datasets into actionable insights. - Optimize data pipelines and ML workflows for performance, scalability, maintainability, and reliability. - Develop robust and reusable Python components following sound software-engineering practices. - Use PySpark to process, transform, and analyze large datasets efficiently in distributed environments. - Write advanced, optimized SQL for data extraction, transformation, feature development, and analytical workloads. - Apply appropriate controls for data privacy, security, responsible AI, monitoring, and explainability. Good to have: - Understanding of building Generative AI applications using Python and modern GenAI frameworks. The successful candidate’s primary responsibilities will be to: