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Tier-1 employer, popular ML role title, and managerial mid-level amplify applicant competition.
Requires applied ML/AI expertise, moderately transferable across industries.
Technical ML stack and managerial expectations create moderately strict mandatory filters.
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Lead design, development, deployment, and scaling of advanced analytics and machine learning models to optimize Mastercard products and drive business impact.
Oversee end-to-end technical execution and continuous improvement of predictive models, ensuring scalability, performance, and adherence to best practices.
Collaborate with global cross-functional teams to translate complex data insights into actionable recommendations for senior stakeholders and sales enablement.
Proficiency in Python, Spark, Hadoop platforms (Hive, Impala, Airflow, NiFi), and SQL.
Strong academic background or equivalent experience in Computer Science, Data Science, Technology, Mathematics, Statistics, or related field.
Experience in data management, analytics, product development, and quantitative analysis.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced data scientist capable of leading complex data science projects with technical oversight and engineering excellence.
Able to operate effectively in a fast-paced, deadline-driven, matrixed environment collaborating globally.
Comfortable translating advanced analytics and model outputs into business value statements for senior business and product stakeholders.