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MastercardPosted today
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Senior Data Scientist-2
Senior Data Scientist-2 at Mastercard scores 30 out of 100 on AI centrality, which makes it a Level 1 role on this board.
Gurgaon, IndiaseniorFull time
AI in this role
Develop analytics frameworks, pricing models, and ROI tools supporting product business units with optional AI model integration.
pythonsqltableaupower-bi
data-analysispredictive-modelingpricing-strategybusiness-intelligence
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-2OverviewProduct 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.
Key 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.
• Build self-service analytics tools to empower stakeholders with actionable insights.
• Encourage a culture of innovation by promoting participation in Sandbox challenges and regular brainstorming sessions.
• Develop flexible and agile solutions based on a deep understanding of business goals and market context.
Collaboration & Team Enablement
• Collaborate with cross-functional teams to ensure smooth execution of strategic initiatives and projects.
• Foster a collaborative and innovative environment, promoting knowledge sharing and teamwork.
• Lead working sessions to drive alignment and productivity within the team.
• Provide mentorship and feedback to support team members' professional development.
• Lead internal training and enablement efforts on analytics tools and methodologies.
Stakeholder Management
• Manage and implement roadmaps for strategic projects, ensuring alignment with business priorities.
• Engage regularly with stakeholders, ensuring effective communication of project progress and addressing escalations.
• Lead standups and project meetings, ensuring clear articulation of agendas, action items, and next steps.
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Qualifications
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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Data AnalysisPredictive ModelingPricing StrategyBusiness IntelligencePythonSqlTableauPower Bi
Questions you could be asked
- Tell me about a project where data analysis was part of your work. What did you do?
- Tell me about a project where predictive modeling was part of your work. What did you do?
- Tell me about a project where pricing strategy was part of your work. What did you do?
- Tell me about a project where business intelligence was part of your work. What did you do?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Data Analysis, Predictive Modeling, Pricing Strategy, Business Intelligence, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
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