Mastercard

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

Principal 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 scientist 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 Principal 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

• Serve as the senior technical leader within the team, providing guidance and best practices in machine learning to team members.
• Develop and refine advanced analytical solutions, utilizing Mastercard's extensive global data assets and software platforms.
• Architect and lead the design and implementation of sophisticated data models and algorithms, steering complex data science initiatives from conception through to execution.
• Lead the creation of architectural decision records to document important decisions made regarding data processing and modeling.
• Collaborate closely with cross-functional teams to integrate data science into broader business strategies.
• Stay abreast of the latest advancements in data science, continually applying new techniques to enhance analytical capabilities.
• Advocate for best practices in data science, ensuring the highest standards of data integrity and analysis.
• Communicate complex data findings and insights effectively to both technical and non-technical stakeholders.

All about you

• Strong experience in Python or any other data science programming languages.
• Extensive expertise in statistical modeling, machine learning algorithms, and predictive analytics.
• Proficiency in big data technologies like Hadoop, Spark, or similar frameworks.
• Excellent skills in data visualization and interpretation.
• Demonstrated history of successfully delivering high-quality, data-driven solutions, including deploying production-level machine learning models and executing complex business intelligence projects.
• Excellent communication skills, capable of explaining complex data concepts in simple terms.
• Experience in working with cloud computing platforms like AWS, Azure, or Google Cloud.
• Proven track record of delivering data products in environments with strict adherence to security and model governance standards.

What makes you stand out

• Experience in deploying machine learning models to production environments on cloud using frameworks like Databricks etc.
• Contributions to the data science community through publications, talks, or open-source projects.
• Leadership in developing proprietary algorithms or tools that have significantly impacted business outcomes.
• Background in the financial industry, providing a deep understanding of the sector's unique data challenges and effective solutions.
• Strong foundation and hands-on experience in software engineering principles, focusing on code quality, version control, and rigorous testing.

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.