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Senior Data Scientist



Data Science
Prague, Czechia · Prague, Czechia · Czechia
Posted on Friday, May 24, 2024

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

Senior Data Scientist

Mastercard’s Data & Services team is looking for a Senior Data Scientist to drive our data-driven insights forward by consistently innovating and problem-solving. As Senior Data Scientist you will be responsible for leading data science initiatives from conception to execution. You will work closely with cross-functional teams to identify business opportunities, develop predictive models and algorithms, and drive data-driven decision-making.

The D&S team is a key differentiator for Mastercard, providing the cutting-edge services that help our customers grow. Focused on thinking big and scaling fast around the globe, this agile team is responsible for end-to-end solutions for a diverse global customer base. Centered on data-driven technologies and innovation, these services include payments-focused consulting, loyalty and marketing programs, business Test & Learn experimentation, and data-driven information and risk management services. Client verticals include Financial Institutions, Retail & Commerce and Digital Partners, Governments, and many others.

• Create prototypes for new ideas/offerings and constantly improve existing products.
• Lead the development of innovative analytical solutions and machine learning models to address complex business challenges.
• Analyze and synthesize data sets both from within Mastercard and beyond to bring powerful insights to clients.
• Collaborate with product managers, engineers, and other stakeholders to integrate data-driven insights and predictive models into Mastercard's products and services.
• Lead the development and implementation of advanced analytics models and algorithms to extract insights from large and complex datasets.
• Collaborate with business stakeholders to understand their requirements and translate them into analytical solutions.
• Conduct exploratory data analysis and hypothesis testing to uncover patterns, trends, and correlations in the data.
• Build predictive models for various business applications.
• Communicate findings and recommendations to technical and non-technical stakeholders through clear and compelling data visualizations, reports, and presentations.
• Mentor junior members of the data science team and providing guidance on best practices in data analysis, modeling, and interpretation.
• Stay abreast of the latest advancements in data science, machine learning, and artificial intelligence technologies, and evaluate their potential applications to enhance Mastercard's analytics capabilities and product offerings.

All About You:
• Bachelor's or Master's degree in Data Science, Advanced Analytics, Economics, Mathematics, or a quantitative discipline
• Proven experience as a Data Scientist
• Proficiency in Python (preferred) and/or R with strong SQL skills
• Experience with large-scale datasets and implementing predictive modeling, data mining, and other quantitative analytics techniques.
• Deep understanding of machine learning techniques and algorithms, including supervised and unsupervised learning, ensemble methods, and deep learning.
• Experience working with credit card data is a plus.
• Experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark) is a plus.
• Excellent problem-solving skills and the ability to think critically and analytically.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams.
• Ability to work independently and manage multiple projects simultaneously in a fast-paced and dynamic environment.


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.