Senior Data Scientist-3

Mastercard is hiring a Senior Data Scientist-3 in Gurgaon.

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-3

Responsibilities

Strategic Support

• Design and implement value enablement frameworks that optimize pricing strategies, enhance pre-sales propositions, and ensure customer success.
• Collaborate with global and regional teams to tailor solutions that meet regional business needs and align with Mastercard's objectives.
• Provide data-driven insights and recommendations to optimize pricing, pre-sales strategies, and customer success outcomes.
• Develop frameworks, project structures, and presentations to communicate key strategic initiatives.
• Conduct data integrity checks and ensure quality and reliability in data used for analysis.
• Translate complex business problems into analytical solutions that support strategic decision-making.

Technical Leadership

• Lead the development of advanced analytics tools, such as ROI calculators and value dashboards, to measure and optimize business performance.
• Utilize Python, SQL, and BI tools (e.g., Tableau, Power BI) for data analysis, modeling, and visualization.
• Create dynamic, interactive dashboards to provide stakeholders with actionable insights.
• Integrate AI/ML models to enhance the accuracy and efficiency of analytical tools (good-to-have, not mandatory).
• Drive process efficiency and scalability through automation and advanced analytics techniques.

Value Enablement Initiatives

• Develop frameworks for measuring and tracking customer value realization.
• Design predictive models and real-time insights to create tailored customer solutions and business cases.

Requirements

Experience

• 5+ years of experience in analytics, data science, pricing strategy, customer success, or related fields, ideally within the payments, financial services, or technology sectors (experience in payments industry is a strong plus).
• Proven track record of developing and scaling data-driven tools and frameworks with measurable outcomes.
• Experience in using Python, SQL, and BI tools (e.g., Tableau, Power BI) for building analytics solutions.
• Experience integrating AI/ML models to enhance predictive insights and automate workflows is a good-to-have.
• Proficient in Microsoft Excel and PowerPoint for data analysis, reporting, and presentation development.

Skills

• Strong technical acumen with the ability to design and implement advanced analytics and visualization solutions.
• Exceptional analytical and problem-solving skills, with the ability to derive actionable insights from complex data sets.
• Clear and concise communication skills, with the ability to translate technical insights into business impact for both technical and non-technical stakeholders.
• Ability to work collaboratively within cross-functional teams and promote a knowledge-sharing environment.
• Deep understanding of pricing strategies, customer success enablement, and revenue optimization principles.

Education

• Bachelor’s degree in Data Science, Computer Science, Business Analytics, Economics, Finance, or a related field.
• Advanced degrees (MBA, Master’s, or certifications in analytics, data science) are preferred

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.

About Mastercard

Product Data & Analytics is a centralized global team that enables Mastercard product business units to make better data‑driven decisions. We build internal analytics partnerships that strengthen focus on business performance, portfolio and revenue optimization, initiative tracking, new product development, and go‑to‑market strategies. These capabilities are underpinned by our data platforms that enable insights to be delivered in a standardized, scalable, and cost‑efficient manner.