Data Scientist, Mastercard
$138-221k
Global payments technology company
Be an early applicant
Global payments technology company
1001+ employees
Be an early applicant
$138-221k
1001+ employees
Company mission
To connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible.
Role
Who you are
- Are you passionate about building scalable, high-performance data platforms that power personalized experiences for millions of users? Do you thrive in a fast-paced environment where innovation and collaboration drive success? Join the Loyalty group at Mastercard, where we connect anonymized transaction data with a robust advertising network to deliver highly personalized card-linked offers
- We are looking for a Data Scientist with a strong foundation in both data science and data engineering. This role requires someone who can not only build predictive models but also design, develop, and maintain scalable data pipelines and infrastructure. You will work cross-functionally to turn data into actionable insights and production-ready solutions
- Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field
- Multiple years of professional experience in data science and/or data engineering roles
- Strong programming skills in SQL and Python is required
- Hands-on experience with traditional machine learning frameworks (e.g., scikit-learn, TensorFlow, PyTorch)
- Experience building data pipelines using tools like Airflow and Spark
- Solid understanding of statistics and probability
- Machine Learning & Statistical Modeling
- Data Engineering & Pipeline Development
- SQL & Data Manipulation
- Cloud & Big Data Technologies (Spark, Hadoop)
- Problem-solving and critical thinking
- Strong communication skills
What the job involves
- We are looking for a Senior Data Scientist who brings deep technical expertise, a strong foundation in software engineering, and a passion for solving complex data challenges. You’ll work on mission-critical projects that shape the future of Mastercard’s offers platform, leveraging cutting-edge technologies in Data, cloud computing, and real-time processing
- This is an exciting opportunity to work with a collaborative, agile team that values creativity, continuous learning, and delivering high-quality software at scale
- Develop, validate, and deploy machine learning models for business use cases
- Perform exploratory data analysis (EDA) to uncover trends, patterns, and insights
- Apply statistical techniques to solve complex business problems
- Communicate findings clearly to stakeholders using visualizations and reports
- Design and run A/B tests and experiments
- Build and maintain scalable data pipelines (ETL/ELT)
- Work with large datasets in distributed environments
- Ensure data quality, integrity, and reliability across systems
- Optimize data workflows and processing performance
- Partner with product, engineering, and business teams to define data-driven solutions
- Translate business requirements into technical implementations
- Deploy models into production and monitor their performance
- Contribute to best practices in documentation, and reproducibility
Application process
- End Date: May 31, 2026
Our take
Mastercard is in the global payments business, and operates the world's fastest payments processing network. Its products and solutions have become central to everyday commerce across the world, in activities ranging from shopping and travelling to running businesses.
As the economy has become more and more digitised, Mastercard has been a leading player in helping businesses and individuals across the globe embrace card payments and digital banking. One of the world's largest companies, its revenue has seen consistent gain in the last 20 years.
The challenge for modern payments companies is that payments are always changing, as seen in the astronomical rise of contactless payments over the last decade. Mastercard's acquisition of blockchain systems, and an overall focus on leveraging its technology towards a digital economy, has placed the company in good stead to keep up to date with current trends, like cryptocurrency, in the digitised payments world.
Steph
Company Specialist at Welcome to the Jungle
Insights
21% employee growth in 12 months
Company
Company benefits
- Gym membership
- Share purchase options
- Extra holiday purchase optional
- Work from home opportunities
- Health insurance
Company HQ
Purchase, Harrison, NY
Leadership
Michael Miebach
(CEO)Has served in a variety of roles at the company, including President and CPO. Currently Board Member at IBM, Accion, the World Resources Institute, the US-India Strategic Partnership Forum, and the Metropolitan Opera. They are also a Trustee of USCIB.
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