Senior Data Scientist: ML & Data Pipelines

Mastercard; San Francisco (CA); On-site; USD 138,000 - 221,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

Paid time off and holidays

Job summary

Mastercard in San Francisco seeks a Senior Data Scientist to build scalable data platforms powering personalized offers. You’ll join a collaborative team working with anonymized transaction data and an advertising network to deliver card-linked experiences.

You’ll design and deploy ML models, develop data pipelines, and run experiments. Strong Python/SQL, data engineering, and cloud know-how are essential for success in this role.

Qualifications

• 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.

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.

Skills

ML & Stats

Data pipelines

SQL & data

Cloud & Big Data

Problem solving

Communication

Education

Bachelor’s or Master’s degree in CS/DS/Statistics

Tools

Airflow

Spark

Job description

Mastercard in San Francisco seeks a Senior Data Scientist to build scalable data platforms powering personalized offers. You’ll join a collaborative team working with anonymized transaction data and an advertising network to deliver card-linked experiences.

You’ll design and deploy ML models, develop data pipelines, and run experiments. Strong Python/SQL, data engineering, and cloud know-how are essential for success in this role.