Social network you want to login/join with:JOB DESCRIPTIONOur PurposeMastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.OverviewAre you an experienced data leader with hands-on machine learning experience and a passion for technological innovation? Do you have a can-do attitude and a strong sense of ownership? The Small and Medium Enterprise (SME) platform offers a great opportunity to help design and develop a world-class unified platform for SMEs globally.The SME team is seeking a Director Data Scientist to lead the development and implementation of advanced machine learning models and systems. You will collaborate with cross-functional teams, including business analysts, data engineers, and software engineers, to integrate machine learning solutions into our business processes.Key ResponsibilitiesManage data science teams to develop comprehensive analytical solutions leveraging Mastercard's global data assets and platforms.Consult with clients and stakeholders to understand their needs and translate them into data analyses or solutions.Coordinate with internal teams to identify opportunities for analytical solutions and technical offerings.Lead the creation of client presentations, reports, data files, and technical documentation.Identify opportunities to standardize and automate data analyses to ensure quality and scalability.Lead talent acquisition, training programs, and performance management for your team.All about youExtensive hands-on experience in Python or relevant programming languages.Proficiency in statistical methods, machine learning algorithms, and predictive modeling.Experience with visualization tools like Tableau or Power BI.Knowledge of big data technologies such as Hadoop or Spark.Excellent communication skills for conveying complex insights.Proven success in leading data projects.Interest in staying updated with latest data science advancements.Familiarity with cloud platforms like AWS, Azure, or Google Cloud.Understanding of data security, privacy standards, and compliance.Experience with Agile methodologies.Leadership skills and stakeholder collaboration ability.What makes you stand outExperience deploying machine learning models in cloud environments aligned with business goals.Leadership in applying Generative AI for commercial benefits.Knowledge of financial industry challenges and data-driven strategies.Background in software engineering practices ensuring high-quality code and testing.Corporate Security ResponsibilityAll Mastercard employees are responsible for information security by:Abiding by security policies and practices.Ensuring confidentiality and integrity of accessed information.Reporting security violations or breaches.Completing mandatory security trainings.
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