Description
Our Purpose
We work 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. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team – one that makes better decisions, drives innovation and delivers better business results.
Title and Summary
Director data scientist Who is Mastercard?Mastercard 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.
Overview
Are you an experienced data leader with hands on machine learning experience and with a passion for technological innovation, have a can-do attitude and strong sense of ownership? The Small and Medium Enterprise (SME) platform is the perfect opportunity for you to assist in the design & development of a world-class unified platform, enabling Small and Medium Enterprises globally.
The SME team is looking for a Director Data Scientist to spearhead the development and implementation of advanced machine learning models and systems. You will work closely with cross-functional teams, including business analysts, data engineers, and software engineers, to integrate machine learning solutions into our business processes.
Key Responsibilities
• Manage data science teams in developing comprehensive and robust analytical solutions, leveraging Mastercard's extensive global data assets and advanced software platforms to deliver high-value results and insights.
• Consults with clients/ stakeholders to understand and translate their needs into a data analyses and/or solution, ensuring that their requirements are accurately captured and technically feasible.
• Liaises with internal stakeholders to identify and elaborate on opportunities as they relate to analytical solution development, feasibility, and other technical offerings.
• Leads development of client presentations, custom reports, data files, and technical documentation.
• Identifies and recommends opportunities to standardize and automate efforts to ensure quality and enable scaling of data analyses/ analytical solutions.
• Lead talent acquisition efforts and initiatives, facilitates training programs and conducts performance management for team of direct reports.
All about you
• Extensive hands-on expertise in Python or other relevant programming languages.
• Proficiency in statistical methods, machine learning algorithms, and predictive modeling.
• Experience in visualization tools like Tableau, Power BI, or similar for complex data representation.
• Proficiency in big data technologies like Hadoop, Spark, or similar frameworks.
• Excellent communication skills to convey complex data insights effectively.
• Proven track record in leading and delivering successful data-centric projects.
• Eagerness to keep up with the latest advancements in data science and technology.
• Familiarity with cloud platforms like AWS, Azure, or Google Cloud for data processing and storage.
• In-depth knowledge of data security, privacy standards, and compliance regulations.
• Experience in Agile methodology, demonstrating adaptability and efficient, iterative development processes.
• Ability to lead effectively in a team and collaborate with various stakeholders.
What makes you stand out
• Demonstrated capability in strategically deploying machine learning models in cloud-based environments, showcasing not just technical expertise but a keen understanding of how such deployments align with broader business objectives and scalability.
• Proven leadership in the innovative application of Generative AI within commercial settings, reflecting a deep comprehension of how cutting-edge technology can drive practical, profitable business solutions.
• Understanding of the financial industry's unique challenges and opportunities, leveraging this knowledge to guide data-driven strategies and decisions.
• Background in overseeing software engineering practices, focusing on maintaining high standards of code quality, effective version control, and rigorous testing practices, while ensuring these align with strategic business goals.
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position must:
• Abide by Mastercard's security policies and practices;
• Ensure the confidentiality and integrity of the information being accessed;
• Report any suspected information security violation or breach, and
• Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard's security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
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