Pricing & Interchange Data Scientist II

Mastercard Inc.; Bogotá ciudad; Presencial; COP 198.715.000 - 331.192.000; Jornada completa

Descripción de la vacante

Mastercard Inc. is seeking a Data Scientist II to advance pricing and interchange strategies through data-driven insights.

You will work across global teams to build predictive models, optimize revenue, and deliver scalable analytics using cloud platforms and modern data architectures. The role emphasizes collaboration with Pricing, Strategy, Finance, Product, and Tech teams, turning complex data into actionable business recommendations and enabling data-driven decisions in a fast-paced

Formación

• Experience with data science, analytics, BI, or related field.
• Strong SQL, data manipulation, and data storytelling skills.
• Proficiency in Python and analytics libraries; familiarity with cloud platforms.

Responsabilidades

• Develop analytics and predictive models supporting pricing, interchange, and commercial strategy.
• Conduct profitability, segmentation, forecasting, simulations, and revenue analyses.
• Design and maintain reporting, dashboards, and self-service analytics.
• Build data pipelines and scalable data products using modern cloud and big data technologies.
• Apply ML methods to uncover trends and opportunities for business decisions.
• Translate business requirements into analytical frameworks and actionable recommendations.

Conocimientos

SQL

Python

Data Visualization

Machine Learning

Statistics

Educación

Bachelor's degree

Master's degree

Herramientas

Databricks

Snowflake

Tableau

Power BI

Airflow

Hadoop

Descripción del empleo

Mastercard Inc. is seeking a Data Scientist II to advance pricing and interchange strategies through data-driven insights.

You will work across global teams to build predictive models, optimize revenue, and deliver scalable analytics using cloud platforms and modern data architectures. The role emphasizes collaboration with Pricing, Strategy, Finance, Product, and Tech teams, turning complex data into actionable business recommendations and enabling data-driven decisions in a fast-paced