Description
Mastercard is seeking a highly analytical and commercially minded professional to join the RAISE Value Quantification team within Strategy Pricing & Interchange.
This role will help shape how Mastercard translates product, service, and customer value into scalable pricing strategies, business cases, and decision-ready analytics.
Key Responsibilities:
- Predictive Modeling and Explainability:
- Design and build predictive models that quantify the economic, operational, and customer value of Mastercard products and services.
- Measure revenue, cost savings, efficiency, risk reduction, and customer impact to inform pricing and commercialization decisions.
- Translate model outputs into clear value stories, commercial insights, and business cases.
- Pricing Analytics & Modeling:
- Develop value-based B2B pricing models, commercial frameworks, and analytical tools that support product pricing and go-to-market strategy.
- Estimate adoption, revenue impact, customer economics, churn elasticity, and outcome-based scenarios.
- Run pricing scenarios and sensitivity analyses to guide strategic trade-offs and executive decision-making.
- Machine Learning & Advanced Analytics:
- Apply machine learning, statistical techniques, and advanced analytics to identify pricing opportunities, customer value drivers, and performance trends.
- Analyze large datasets and prepare structured inputs for predictive modeling.
- Build forecasts and analytical outputs that support pricing strategy, product planning, and performance management.
Qualifications:
- Education: Master's degree in quantitative fields such as Data Science, Statistics, Economics, Engineering, Finance, Mathematics, Computer Science, or Operations Research.
- Must-Have Experience: 6-8 years of experience in data science and pricing analytics with demonstrated experience building predictive models, pricing models, business case frameworks, or value quantification methodologies.
- Proven ability to analyze large, complex datasets and convert analytical findings into business recommendations.
- Strong communication skills with the ability to explain technical concepts to commercial and senior stakeholder audiences.
Must-Have Technical Skills:
- Strong working knowledge of predictive modeling, machine learning, forecasting, statistics, and model explainability.
- Proficiency in Python, including Pandas, NumPy, Scikit-learn, and Statsmodels.
- Advanced SQL skills for data extraction, transformation, and analysis.
Must-Have Business & Pricing Skills:
- Experience with pricing elasticity, revenue optimization, customer economics, financial modeling, or commercial strategy.
- Understanding of value-based pricing principles and how analytical insights inform commercial decision-making.
- Strong analytical skills with the ability to link data, insights, and business impact.
Why Join Us:
- This is an opportunity to join Mastercard's Strategy Pricing & Interchange team in a high-impact role that combines advanced analytics, pricing strategy, and commercial influence.
- Strategic Impact: Shape value-based pricing strategies that influence product decisions, customer economics, and commercialization outcomes across Mastercard.
- Collaborative Culture: Work across Pricing, Product, Commercialization, Data Science, and regional teams in a culture that values curiosity, collaboration, analytical rigor, and continuous learning.
- Career Growth: Gain exposure to global stakeholders, senior leaders, and high-visibility initiatives while building deep expertise in pricing strategy, value quantification, and advanced analytics.
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