Job
Description
The Role As a Data Scientist, you will: Collaborate closely with the global optimization solutions team to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data. This will support data insights and analytical needs across various products, markets, and services. Focus on building solutions using Machine Learning and generating actionable insights to support product optimization and sales enablement. Prototype new algorithms, conduct experiments, evaluate results, and deliver actionable insights that drive business value. Drive the evolution of products with a strong impact on data science and engineering, ensuring data-driven decisions. Design machine learning systems and self-running artificial intelligence (AI) software to automate predictive models. Perform data ingestion, aggregation, and processing on high-volume, high-dimensionality data to facilitate data unification and produce relevant insights. Continuously innovate and determine new approaches, tools, techniques, and technologies to solve complex business problems and generate valuable business insights and recommendations. Apply your knowledge of metrics, measurements, and benchmarking to develop complex and demanding solutions. Qualifications A superior academic record from a leading university in Computer Science, Data Science, Technology, Mathematics, Statistics, or a related field, or equivalent work experience. Proven experience in data management, data mining, data analytics, data reporting, data product development, and quantitative analysis. Strong analytical skills with a track record of translating complex data into compelling insights. Prior experience working in a product development role. In-depth knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture. Proficiency in using Python/Spark, Hadoop platforms & tools (e.g., Hive, Impala, Airflow, NiFi), and SQL to build robust Big Data products & platforms. Experience with Enterprise Business Intelligence Platforms/Data Platforms (e.g., Tableau, PowerBI) is a plus. Demonstrated success in interacting with stakeholders to understand technical needs and ensuring analyses and solutions effectively meet those needs. Ability to build a strong narrative on the business value of products and actively participate in sales enablement efforts. Able to work effectively in a fast-paced, deadline-driven environment, both as part of a team and as an individual contributor. Corporate Security Responsibility All activities involving access to Mastercard assets, information, and networks come with an inherent risk to the organization. Therefore, it is expected that every person working for, or on behalf of, Mastercard, is responsible for information security and must: Abide by Mastercard's security policies and practices. Ensure the confidentiality and integrity of the information being accessed. Report any suspected information security violation or breach. Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
