Manager Data Scientist

Role Overview: As a Manager - Data Scientist at Mastercard, you will be part of the Optimization Solutions team focusing on enhancing digital payment performance. Your role involves partnering with global, cross-functional teams to design, develop, and maintain advanced analytics and data science solutions that drive business impact. You will lead the end-to-end design and technical oversight of complex data science and machine learning solutions and translate advanced analytics into clear insights for senior business stakeholders. Key Responsibilities: - Partner with global, cross-functional teams to design, develop, and maintain advanced analytics and data science solutions - Build, deploy, and scale machine learning models for product optimization, growth, and sales enablement - Lead the design and technical oversight of complex data science and ML solutions ensuring scalability and performance - Drive the development, validation, monitoring, and continuous improvement of predictive models aligned with business objectives - Establish best practices across statistical analysis, feature engineering, model evaluation, and performance monitoring - Translate advanced analytics and experimental findings into clear, data-driven insights for senior stakeholders - Design and implement robust data pipelines for large-scale datasets - Research and evaluate emerging AI, machine learning, and data science technologies - Contribute to the development of frameworks that ensure responsible and compliant AI solutions - Apply metrics and measurement frameworks to assess solution effectiveness and business value Qualifications Required: - Strong academic background in Computer Science, Data Science, Technology, Mathematics, Statistics, or related field - Experience in data management, mining, analytics, reporting, product development, and quantitative analysis - Proficiency in Python, Spark, Hadoop platforms, SQL, and machine learning frameworks - Familiarity with BI platforms like Tableau or Power BI is a plus - Strong analytical skills with the ability to translate data into compelling insights - Experience interacting with stakeholders and articulating business value of products - Comfortable working in a fast-paced, deadline-driven environment as a team player and individual contributor (Note: Additional details about the company were not provided in the job description.) Role Overview: As a Manager - Data Scientist at Mastercard, you will be part of the Optimization Solutions team focusing on enhancing digital payment performance. Your role involves partnering with global, cross-functional teams to design, develop, and maintain advanced analytics and data science solutions that drive business impact. You will lead the end-to-end design and technical oversight of complex data science and machine learning solutions and translate advanced analytics into clear insights for senior business stakeholders. Key Responsibilities: - Partner with global, cross-functional teams to design, develop, and maintain advanced analytics and data science solutions - Build, deploy, and scale machine learning models for product optimization, growth, and sales enablement - Lead the design and technical oversight of complex data science and ML solutions ensuring scalability and performance - Drive the development, validation, monitoring, and continuous improvement of predictive models aligned with business objectives - Establish best practices across statistical analysis, feature engineering, model evaluation, and performance monitoring - Translate advanced analytics and experimental findings into clear, data-driven insights for senior stakeholders - Design and implement robust data pipelines for large-scale datasets - Research and evaluate emerging AI, machine learning, and data science technologies - Contribute to the development of frameworks that ensure responsible and compliant AI solutions - Apply metrics and measurement frameworks to assess solution effectiveness and business value Qualifications Required: - Strong academic background in Computer Science, Data Science, Technology, Mathematics, Statistics, or related field - Experience in data management, mining, analytics, reporting, product development, and quantitative analysis - Proficiency in Python, Spark, Hadoop platforms, SQL, and machine learning frameworks - Familiarity with BI platforms like Tableau or Power BI is a plus - Strong analytical skills with the ability to translate data into compelling insights - Experience interacting with stakeholders and articulating business value of products - Comfortable working in a fast-paced, deadline-driven environment as a team player and individual contributor (Note: Additional details about the company were not provided in the job description.)