Director, Data Scientist

Title

Director, Data Scientist

The AI Ops team is seeking a Director of Data Science to lead enterprise data science strategy and drive AI‑powered solutions that improve reliability and performance  ideal candidate is a strategic people leader who is highly motivated, intellectually curious, analytical, and passionate about translating complex data into scalable AI and machine learning solutions.

• Define and execute data science strategy aligned to AI Ops and enterprise priorities, identifying opportunities where AI and advanced analytics can improve operational resilience, performance, and decision‑making.
• Lead the design, development, and deployment of machine learning, deep learning, predictive modeling, and generative AI solutions that address complex operational challenges.
• Establish best practices for model development, validation, governance, and lifecycle management to ensure scalable, reliable, and production‑ready solutions.
• Translate complex data and analytical insights into strategic recommendations that influence executive decision‑making and measurable business outcomes.
• Partner across Engineering, Product, Operations, and AI/ML Engineering teams to operationalize models and enable intelligent automation across platforms.
• Build and develop high‑performing data science teams, fostering innovation, accountability, technical excellence, continuous learning, and mentorship for junior team members.

• Advanced expertise in data science, machine learning, artificial intelligence, and predictive modeling, with proven ability to deliver enterprise‑scale solutions that drive measurable business impact.
• Strong experience applying machine learning, deep learning, and generative AI techniques to large‑scale, complex datasets and operational challenges.
• Strong foundation in applied mathematics, statistics, algorithm design, and model validation, with the ability to build scalable, robust, and business‑aligned solutions.
• Proven ability to translate complex data into actionable insights, define success metrics, and influence strategic business decisions through analytics.
• Demonstrated success leading high‑performing data science teams, mentoring junior team members, developing talent, and aligning team capabilities to long‑term business and organizational strategy.
• Familiarity with AI Ops, MLOps, model lifecycle management, production deployment, or highly regulated large‑scale enterprise environments is highly valued.

• 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.

O'Fallon, Missouri: $170,000 - $281,000 USD

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.