Description
Our Purpose
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
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
The Data Science team at Dynamic Yield, a Mastercard company and a global leader in digital personalization, is seeking a forward-thinking Data Scientist to help redefine customer experiences through data-driven innovation. This is a unique opportunity to join a passionate team committed to pushing the boundaries of AI, personalization, and customer intelligence. The ideal candidate is analytical, creative, and deeply curious—someone who thrives in a culture of experimentation and is excited to explore the potential of generative AI and large language models (LLMs) to solve real-world challenges.
Role
In this dynamic role, you will:
• Partner with Product, Engineering, and Customer Success teams to identify opportunities where data science can drive meaningful impact.
• Design, develop, and deploy models that optimize user experiences and business performance, especially in the context of personalization and recommendation systems.
• Leverage LLMs and generative AI to conceptualize and prototype cutting-edge solutions in personalization and customer engagement.
• Transform business problems into data science projects, ensuring measurable impact and alignment with product goals.
• Present findings, strategic insights, and innovative ideas clearly to both technical and non-technical stakeholders.
• Promote a culture of innovation, sharing new technologies, tools, and methodologies with the broader team.
• Monitor, evaluate, and improve model performance across various production environments.
All About You
The ideal candidate for this role should:
• Be fluent in machine learning and statistical modeling, with strong applied experience in real-world systems.
• Demonstrate practical expertise in Python, SQL, and relevant ML frameworks (e.g., scikit-learn, TensorFlow, PyTorch).
• Be experienced in using or fine-tuning large language models (LLMs) and working with generative AI tools.
• Be skilled at framing complex problems into data science solutions and communicating them effectively across the organization.
• Be energized by collaboration, innovation, and customer-centric thinking.
Bonus points if you:
• Have worked in personalization, recommender systems, or behavioral analytics.
• Are familiar with deploying models in production and integrating with modern MLOps pipelines.
• Have experience with cloud platforms (e.g., AWS, GCP) and data tools (e.g., Airflow, Spark).
• Stay actively engaged in the data science/AI community.
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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