Senior AI Data Scientist — Production ML Leader

Mastercard; Bray (OK); On-site; USD 140,000 - 190,000; Full time

Job summary

Mastercard is seeking a Senior Data Scientist, AI Engineering to advance our AI capabilities across domains, partnering with engineering, product, and business teams to deliver machine learning solutions from concept to production. This role emphasizes predictive modelling, experimentation, and applied ML to drive measurable business impact.

You will apply foundation-model representations and modern ML techniques to solve high-impact problems such as forecasting, propensity modelling, and

Qualifications

• Proven experience developing and deploying ML solutions in production environments.
• Experience with predictive modelling tasks (forecasting, attrition, recommendations, fraud/risk analytics).
• Strong track record of delivering measurable business outcomes with ML.
• Cross-functional collaboration across engineering, product, and analytics.

Responsibilities

• Design, develop, and deploy ML solutions that solve high-impact business problems.
• Define modelling approaches, experimentation methods, and success metrics for AI initiatives.
• Apply foundation-model embeddings and modern ML techniques to improve performance and speed.
• Lead projects from problem definition to deployment and impact measurement.
• Mentor junior data scientists and share knowledge across the AI org.

Skills

Machine learning

Predictive analytics

Statistical modelling

Experimentation

Python

SQL

Scikit-Learn

XGBoost

LightGBM

TensorFlow

PyTorch

Foundation models

Databricks

Spark

Cloud platforms

Education

Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or related

Tools

Databricks

Spark

Azure

AWS

GCP

Job description

Mastercard is seeking a Senior Data Scientist, AI Engineering to advance our AI capabilities across domains, partnering with engineering, product, and business teams to deliver machine learning solutions from concept to production. This role emphasizes predictive modelling, experimentation, and applied ML to drive measurable business impact.

You will apply foundation-model representations and modern ML techniques to solve high-impact problems such as forecasting, propensity modelling, and