Manager, Data Scientist

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.

As a Manager – Data Scientist in the Optimization Solutions team, you will partner with global, cross-functional teams to design, develop, and maintain advanced analytics and data science solutions that drive business impact.

Key responsibilities:

• Build, deploy, and scale machine learning models that deliver actionable insights for product optimization, growth, and sales enablement.
• Lead the end-to-end design and technical oversight of complex data science and ML solutions, ensuring scalability, performance, and engineering excellence.
• Drive the development, validation, monitoring, and continuous improvement of predictive models, statistical techniques, and algorithms aligned with business objectives.
• Establish and uphold best practices across statistical analysis, feature engineering, model evaluation, and performance monitoring.
• Translate advanced analytics, model results, and experimental findings into clear, data-driven insights for senior business and product stakeholders.
• Design and implement robust data pipelines, including ingestion, aggregation, and processing of large-scale, high-dimensional datasets.
• Research and evaluate emerging AI, machine learning, and data science technologies to identify innovative opportunities and potential risks.

Requirements:

• Strong academic background in Computer Science, Data Science, Technology, Mathematics, Statistics, or a related field,or equivalent work experience.
• Experience in data management, mining, analytics, reporting, product development, and quantitative analysis.
• Proficiency in Python, Spark, Hadoop platforms (Hive, Impala, Airflow, NiFi), and SQL.
• Familiarity with machine learning frameworks, libraries, data structures, and software architecture.
• Strong analytical skills with a proven ability to translate data into compelling insights.
• Experience interacting with stakeholders to understand technical needs and deliver effective solutions.