Description
Mastercard is seeking a Lead Data Scientist to join its Business & Market Insights (B&MI) team. The successful candidate will work across Product, Client Services & Delivery, Data & Engineering, and broader teams to deliver products driven by analytics & AI.
Responsibilities:
- Design, develop, and productionize machine learning and data science solutions
- Develop traditional ML solutions covering feature engineering, model training, validation, evaluation, and deployment
- Perform exploratory data analysis and translate complex datasets into actionable insights
- Build Generative AI applications using Python and modern GenAI frameworks
- Optimize data pipelines and ML/GenAI workflows for performance, scalability, maintainability, and reliability
- Evaluate GenAI solutions for answer quality, groundedness, reliability, latency, and cost
- Develop robust and reusable Python components following sound software-engineering practices
- Use PySpark to process, transform, and analyze large datasets efficiently
- Write advanced, optimized SQL for data extraction, transformation, feature development, and analytical workloads
- Collaborate with product managers, AI engineers, software engineers, and other data scientists
- Apply appropriate controls for data privacy, security, responsible AI, monitoring, and explainability
- Conduct code reviews, establish reusable technical patterns, and mentor less-experienced data scientists
The successful candidate will have 8-12 years of overall career experience in Data Science function supporting Products.