Manager, Data Scientist Mastercard

About Mastercard

Job Description

As the Manager, Data Scientist at our organization, you will play a crucial role in the Product Data & Analytics team. This team focuses on building internal analytic partnerships to enhance the health of the business, optimize revenue opportunities, track initiatives, develop new products, and formulate Go-To Market strategies. Your enthusiasm for Data Assets and your commitment to data-driven decision-making will be instrumental in driving the success of our Global Analytics team, which serves end users across 6 continents. You will be the key resource for data analytics within the company, leveraging your expertise to identify solutions in vast data sets and transform insights into strategic opportunities. In this role, you will collaborate closely with the global pricing and interchange team to create analytic solutions using complex statistical and data science techniques. Your responsibilities will include developing dashboards, prototypes, and other tools to communicate data insights effectively across products, markets, and services. Leading cross-functional projects, you will utilize advanced data modeling and analysis techniques to uncover valuable insights that inform strategic decisions and optimization opportunities. Additionally, you will translate business requirements into technical specifications, ensure timely deliverables, and uphold quality standards in data manipulation and analysis. Your role will also involve recruiting, training, developing, and supervising analyst-level employees. You will be responsible for presenting findings and insights to stakeholders through various platforms such as Tableau, PowerBI, Excel, and PowerPoint. Furthermore, you will conduct quality control, data validation, and cleansing processes on both new and existing data sources. The ideal candidate for this position holds a strong academic background in Computer Science, Data Science, Technology, mathematics, statistics, or related fields. Proficiency in tools such as Alteryx, Python/Spark, Hadoop platforms, and advanced SQL is essential for building Big Data products and platforms. Experience in interacting with stakeholders, crafting narratives on product value, and contributing to product optimization efforts is highly valued. Additionally, familiarity with Enterprise Business Intelligence platforms like Tableau and PowerBI is advantageous, along with knowledge of ML frameworks, data structures, and software architecture. To succeed in this role, you must possess excellent English communication skills, strong analytical abilities, attention to detail, creativity, and self-motivation. Your capacity to manage multiple tasks, operate in a fast-paced environment, and collaborate effectively with diverse teams will be critical. A Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, or a related field is required, with additional certifications being a plus. If you are a proactive individual with a passion for data analytics and a drive to excel in a dynamic environment, we invite you to consider this exciting opportunity to join our team as the Manager, Data Scientist.,