Director, Data Scientist

Title and Summary

Director, Data Scientist

Overview:

Product Data Analytics team builds internal analytic partnerships, strengthening focus on the health of the business, portfolio and revenue optimization opportunities, initiative tracking, and new product development.

Are you excited about Data Assets and the value they bring to an organization

Are you an evangelist for data driven decision making

Are you motivated to be part of a Global Analytics team that builds large scale Analytical Capabilities supporting end users across 6 continents

Do you want to be the go-to resource for data analytics in the company

The ideal candidate has a knack for seeing solutions in sprawling data sets and the business mindset to convert insights into strategic opportunities for our company.

Role Responsibilities:

• Partner with global regional Optimization teams to architect, develop, and Lead cross-functional initiatives using advanced analytics techniques to generate actionable insights, identify optimization opportunities, and support strategic decision-making.
• Deliver clear, compelling insights and recommendations through data storytelling using tools such as Tableau, Power BI, Excel, React-based dashboards, and PowerPoint.
• Translate complex business problems into scalable analytical and technical solutions, ensuring high-quality, timely delivery of data products and analytics solutions.
• Define and drive analytics strategy while applying 80/20 principles to prioritize high-impact opportunities, ensuring focus on initiatives that deliver maximum business value.
• Lead and develop high-performing teams through coaching and accountability, while building strong stakeholder partnerships and driving adoption of analytics outputs across the enterprise.

All About You:

• Proven expertise in designing, building, and scaling AI/ML models to solve complex business problems, with full ownership of the model lifecycle including deployment.
• Proven experience leveraging large language models (LLMs) and enterprise AI platforms (e.g., Claude, Copilot) to drive scalable, secure, and business-impacting AI solutions in production environments.
• Strong hands-on proficiency in Python, Spark, Hadoop ecosystem (Hive, Impala), and SQL to build robust, scalable, and production-grade data pipelines and analytics solutions, with exposure to enterprise BI and visualization platforms such as Tableau and Power BI.
• Ability to translate complex and ambiguous business problems into structured analytical solutions, and communicate insights through clear, compelling narratives that influence executive decision-making.
• Demonstrated success in building, mentoring, and leading high-performing data science teams, fostering innovation, accountability, and continuous learning culture.
• Strong track record of delivering complex, large-scale initiatives in fast-paced environments, managing roadmaps, timelines, dependencies, and stakeholder alignment across business, product, and engineering.
• Ability to operate effectively in ambiguity while ensuring responsible AI practices, model governance, compliance, and effective escalation management across enterprise environments.

Education:

Bachelors or masters Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred.

Corporate Security Responsibility

• 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 Mastercards guidelines.