Description
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
Manager Data Scientist About Mastercard:Mastercard is a leading global technology company in the payments industry. Our mission is to connect and empower an inclusive, digital economy that benefits everyone, everywhere, by making transactions safe, simple, smart, and accessible. Leveraging secure data, robust networks, strategic partnerships, and our commitment to innovation, we enable individuals, financial institutions, governments, and businesses to realise their full potential. With a presence in over 210 countries and territories, we are dedicated to building a sustainable world that unlocks priceless possibilities for all, driven by our core value of decency.
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About the Team:
The Optimization Solutions team focuses on enhancing digital payment performance across all Mastercard products and regions. As consumer preferences evolve towards digital payments, we prioritise delivering a seamless and secure experience. The team analyses digital performance metrics, identifies factors influencing outcomes, and monitors broader industry trends. We generate actionable, data-driven insights and recommendations, collaborate with external stakeholders to implement optimisation solutions, and work cross-functionally to ensure alignment and execution.
Position: Manager – Data Scientist
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The Role
As part of the Optimization Solutions team, the role involves:
• Collaborating with global teams to develop and maintain advanced analytics and data science tools.
• Building machine learning solutions to generate actionable insights for product optimization and sales enablement.
• Prototyping, experimenting with, and evaluating new algorithms.
• Driving product evolution through data science and engineering.
• Designing self-running AI systems to automate predictive models.
• Performing data ingestion, aggregation, and processing on high-volume, high-dimensional data.
• Innovating with new tools, techniques, and technologies to solve business problems.
• Applying metrics, measurements, and benchmarking to complex solutions.
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All About You
Education & Experience:
• Strong academic background in Computer Science, Data Science, Technology, Mathematics, Statistics, or a related field—or equivalent work experience.
• Experience in data management, mining, analytics, reporting, product development, and quantitative analysis.
Technical Skills:
• Proficiency in Python, Spark, Hadoop platforms (Hive, Impala, Airflow, NiFi), and SQL.
• Familiarity with machine learning frameworks, libraries, data structures, and software architecture.
• Experience with BI platforms like Tableau or Power BI is a plus.
Analytical & Communication Skills:
• Strong analytical skills with a proven ability to translate data into compelling insights.
• Experience interacting with stakeholders to understand technical needs and deliver effective solutions.
• Ability to articulate the business value of products and contribute to sales enablement.
Work Style:
• Comfortable working in a fast-paced, deadline-driven environment.
• Effective as both a team player and an individual contributor.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard's security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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