Data Scientist

Build data products with real-world impact in Mastercard’s Loyalty group. This onsite Data Scientist role focuses on scalable, high-performance data platforms and predictive machine learning that supports personalized, card-linked offers. You will help deliver production-ready insights by turning analytics and model development into reliable workflows that business teams can use.

What you’ll do

• Develop, validate, and deploy machine learning models for business use cases
• Run exploratory data analysis (EDA) to identify trends, patterns, and actionable insights
• Use statistical techniques to address complex business problems
• Communicate findings clearly to stakeholders through visualizations and reports
• Design and execute A/B tests and experiments
• Build and maintain scalable data pipelines using ETL/ELT approaches
• Work with large datasets in distributed environments
• Maintain 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 model performance
• Support best practices for documentation and reproducibility

What you bring

• 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 (required)
• Hands-on experience with traditional machine learning frameworks such as scikit-learn, TensorFlow, and PyTorch
• Experience building data pipelines with tools like Airflow and Spark
• Solid understanding of statistics and probability

Tools you’ll use

SQL, Python, scikit-learn, TensorFlow, PyTorch, Airflow, Spark, ETL/ELT.

Security expectations

• 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
• Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines

Compensation and location

New York, NY (onsite): USD 138,000 - 221,000 per yearly.

Pay ranges also list San Francisco, California: USD 138,000 - 221,000 USD.

Benefits

• Insurance including medical, prescription drug, dental, vision, disability, and life insurance
• Flexible spending account and health savings account
• Paid leaves including 16 weeks of new parent leave and up to 20 days of bereavement leave
• 80 hours of Paid Sick and Safe Time
• 25 days of vacation time and 5 personal days (pro-rated based on date of hire)
• 10 annual paid U.S. observed holidays
• 401k with a best-in-class company match
• Deferred compensation for eligible roles
• Fitness reimbursement or on-site fitness facilities
• Eligibility for tuition reimbursement