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Mastercard is seeking a Senior Data Scientist to join our Global Analytics team. You will lead data analytics initiatives, blending data from Salesforce, SQL Server, AWS, Databricks and other sources to create unified, trusted datasets and actionable insights.
Strong knowledge of MDM platforms and cloud data ecosystems is preferred. Ideal candidates have 6+ years in data science, experience with Tableau/Power BI, and the ability to communicate complex findings to senior stakeholders while
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.
Senior Data Scientist
Overview
Reports to: Director Data Science and Analytics
Product 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.
Work closely in collaboration with multiple internal business groups across Mastercard to implement End-to-End data driven lifecycle solutions. The candidate for this position will focus on Building End-to-End solution to blend data from multiple data sources (Salesforce, SQL Server, AWS, Databricks, Financial and other data) and creating actionable insights to transform siloed data from disparate sources into unified, trusted and interoperable data. Candidate should have a strong understanding of data management concepts and experience on working with MDM, Reltio platforms would be preferred. Candidate should have a solid understanding of cloud-based systems and should be able to work effectively in a team environment. Strong communication and collaboration skills are also important. Candidates having strong design documents, including data models, data flow diagrams, and system architecture diagrams, will be preferred.
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: