Data Scientist II

Role Overview

Join a Global Analytics team at Mastercard to build large-scale analytical capabilities supporting users across 6 continents. As a Data Scientist II, you will be an evangelist for data-driven decision-making, working to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support global pricing teams and various products, markets, and services.

Responsibilities

• Work closely with Global & Regional pricing teams to architect, develop, and maintain advanced reporting and data visualization capabilities.
• Translate business requirements into tangible solution specifications and high-quality, on-time deliverables.
• Create repeatable processes to support the development of modeling and reporting.
• Use tools to manipulate large-scale databases and synthesize data insights.
• Provide 1st level insights, conclusions, and assessments, presenting findings via interactive dashboards and presentations.
• Apply quality control, data validation, and cleansing processes to new and existing data sources.
• Interact with management and internal stakeholders to collect requirements.

Requirements

• Experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis.
• Advanced SQL coding skills.
• Experience with platforms such as SQL Server and Microsoft BI Stack.
• Experience with data visualization tools like Tableau, Domo, or Power BI.
• Experience with Hadoop or Ozone environments.
• Proficiency in programming languages including Python, R, or PySpark.
• Bachelor’s or Master’s Degree in Computer Science, IT, Engineering, Mathematics, Statistics, or an MBA.
• Financial Institution or Payments experience is a plus.
• AI/ML hands-on experience is a plus.

Skills

• SQL
• Python
• Tableau
• Hadoop
• PySpark