About the job
Overview The Issuer Fraud Solutions Data & Analytics team is seeking a Senior Data Scientist (L7) to join the Product Development organization within Services. This role is designed for a senior individual contributor who brings deep data science expertise combined with strong data engineering and automation skills to deliver scalable, production-grade solutions. In this role, you will work on large scale data processing, ETL pipelines, and advanced analytics, leveraging Python, Spark, and big data platforms. As a Senior Data Scientist at Mastercard, you will: • Lead the design, development, and optimization of large scale data pipelines and ETL processes supporting Mastercard products and analytics • Build and maintain distributed data processing solutions using Python and Spark (PySpark) in high volume environments • Work with big data platforms to ingest, transform, and curate data for analytics, modeling, and downstream consumption • Drive automation of data workflows and operational processes to reduce manual effort and improve reliability • Partner closely with data scientists, engineers, and product teams to translate business and product needs into scalable technical solutions • Ensure end to end data quality, performance, resiliency, and observability across production pipelines • Optimize Spark workloads for performance, scalability, and cost efficiency • Provide technical leadership through design reviews, best practices, and architectural guidance • Support production systems through monitoring, troubleshooting, and continuous improvement. All About You Required Experience & Skills • Extensive hands-on experience using Python for data processing, automation, and analytics • Strong expertise with Apache Spark / PySpark in distributed, large-scale environments • Proven experience working with big data systems involving large volumes, complex schemas, or high throughput processing • Deep understanding of ETL design, including data ingestion, transformation, validation, and optimization • Demonstrated ability to build automated, repeatable data pipelines and workflows • Strong knowledge of distributed data processing concepts and performance tuning • Ability to independently own complex technical domains and deliver production-ready solutions.
About the company
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.
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