Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we're helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Lead Data Scientist
Role and Summary
Data Scientist
The Data Scientist in the Foundry R&D team is responsible for creating data & analytics solutions including deep learning Artificial Intelligence (A.I.) and Machine Learning (M.L.) models that sit atop large datasets. The Data Scientist is responsible for developing full life cycle modeling processes of data analysis, feature engineering, model training, testing, serving and monitoring.
As a Data Scientist, you will:• Work closely with the business owners to understand business requirements, performance metrics regarding data quality and model performance of customer facing products• Work with multiple disparate sources of data, storage systems, and building processes and pipelines to provide cohesive datasets for analysis and modeling• Generate and maintain and optimize data pipelines for model building and model performance evaluation• Develop, test, and evaluate modern machine learning and A.I. models• Oversee implementation of models• Evaluate production models based on business metrics to drive continuous improvement• Leverage AI tooling for development of analytics code and data pipelines and to innovate on process
Essential Skills:• Data engineering and data science experience• Strong skills in Databricks, Snowflake, and other data platforms• Experience with SQL language and one or multiple of the following database technologies: PostgreSQL, Hadoop, Spark.• Experience in working with Cloud (e.g., Azure, AWS)• Python and one of the following machine learning libraries
o Spark ML
o TensorFlow
o Scikit Learn
o XGBoost• Good communication skills• Highly skilled problem solver• Exhibits a high degree of initiative• Bachelor's or Master's in CS, Data Science, ML/AI, or a related STEM field
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.
Skills Required
- Data engineering and data science experience
- Strong skills in Databricks, Snowflake, and other data platforms
- Experience with SQL
- Experience with PostgreSQL, Hadoop, or Spark
- Experience working with cloud platforms such as Azure or AWS
- Python experience
- Experience with Spark ML, TensorFlow, Scikit-learn, or XGBoost
- Good communication skills
- Strong problem-solving skills
- High degree of initiative
- Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Artificial Intelligence, or a related STEM field
Mastercard Compensation & Benefits Highlights
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Retirement Support — Retirement plans are highlighted as especially strong, featuring a notably generous company match and added financial-planning resources. Feedback suggests this component stands out as a key strength of the overall package.
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Parental & Family Support — Parental and family benefits are consistently portrayed as robust, including extended new-parent leave and assistance for fertility, adoption, and surrogacy. Feedback suggests these programs are a signature part of the offering.
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Leave & Time Off Breadth — Paid time off is described as substantial, with multiple leave types and generous vacation and personal days noted in U.S. materials. Feedback suggests time off is frequently praised as a differentiator.
Mastercard Insights
What We Do
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re building a resilient economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Why Work With Us
We live the Mastercard Way: creating value in the communities we touch, growing together through the opportunities we see, and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do, driving meaningful change as one team and connecting everyone to priceless possibilities.
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Employees engage in a combination of remote and on-site work.
In our ongoing workplace evolution, we’ve introduced hybrid work, Work-From-Elsewhere Weeks and Meeting-Free Days.






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