Data Scientist II
Core
Design and deliver scalable data-driven solutions to support Mastercard's pricing, interchange, and commercial strategy, transforming data into actionable insights for strategic business decisions.
Role type
Mid-level IC data scientist (pricing & commercial analytics)
Builds
Predictive models, revenue analytics, dashboards, and data pipelines for global pricing strategy
Domain
Financial services / Payments / Pricing & Interchange
Deliverable
production ML models | dashboards & analysis
Required skills
SQL, Python, statistical methods, machine learning, data visualization, data pipeline development, workflow orchestration
Preferred skills
Generative AI, ML deployment, optimization models, payments/fintech domain experience
Technologies
Hadoop, Cloudera, Snowflake, Databricks, Azure, AWS, Microsoft Fabric, SQL Server, Power BI, Tableau, Apache Airflow, NiFi, Alteryx, SSIS
Responsibilities
Develop predictive models and analytics for pricing and interchange strategy; Conduct profitability assessments, segmentation, forecasting, and simulations; Design and maintain reporting dashboards and self-service analytical capabilities; Build and enhance data pipelines and scalable data products; Translate business requirements into analytical frameworks and recommendations; Partner with Finance, Product, and Technology teams to support commercial decisions.
Seniority
Mid-level, hands-on IC
