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About the Role

Join the Loyalty group at Mastercard to build scalable, high-performance data platforms that power personalized experiences for millions of users. This role involves working in a fast-paced environment where innovation and collaboration drive success, connecting anonymized transaction data with a robust advertising network to deliver highly personalized card-linked offers. You will work on mission-critical projects shaping 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. This position requires a strong foundation in both data science and data engineering, enabling the development of predictive models, and the design, development, and maintenance of scalable data pipelines and infrastructure. You will work cross-functionally to transform data into actionable insights and production-ready solutions.

Responsibilities

• 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

Requirements

• Multiple years of professional experience in data science and/or data engineering roles
• Strong programming skills in SQL and Python
• 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

Skills

• 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

Location

• San Francisco, California

Experience Level

• Multiple years of professional experience in data science and/or data engineering roles

Education Level

• Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or related field

Salary/Compensations

• $138,000 - $221,000 USD

Benefits

• Insurance (medical, prescription drug, dental, vision, disability, life insurance)
• Flexible spending account and health savings account
• Paid leaves (16 weeks of new parent leave, up to 20 days of bereavement leave)
• 80 hours of Paid Sick and Safe Time
• 25 days of vacation time
• 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

About the Company

• 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.
• We invent easier ways to pay.
• We speed up checkout lines.
• We provide merchants with data and insights for more sales.
• We connect people needing financial access.
• We simplify corporate purchasing.
• We speed commuters on their way.
• We help governments create greater efficiencies.
• We give virtual small businesses access to a world of buyers.
• We provide tools for retailers to fight fraud.

Equal Opportunity

• Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law.
• We hire the most qualified candidate for the role.
• In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable_accommodation@mastercard.com and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.