Senior Data Scientist, Test & Learn & AI Innovation

Mastercard Inc.; Leixlip; Sur place; EUR 90 000 - 140 000; Plein temps

Résumé du poste

Mastercard Inc. is seeking a Senior Data Scientist, Test and Learn, to pioneer analytics strategies across an enterprise-scale analytics platform.

You will drive research, collaborate with product and engineering teams, and help translate advanced data science methods into scalable products and commercial solutions. The role focuses on applying machine learning, causal inference, and generative/agentic AI to real-world problems, with a strong emphasis on cross-functional impact and delivery

Qualifications

• 5+ years experience in data science or graduate coursework.
• Experience applying machine learning, causal inference, and generative/agentic AI to real-world problems.
• Strong technical aptitude and business acumen to apply tech to commercial questions.
• Experience applying analytics to high-volume datasets to influence decisions.
• Excellent communication and collaboration with cross-functional teams.
• Exceptional project management and ability to manage multiple workstreams.

Responsabilités

• Drive research of new functionality within an analytics platform used by large organizations.
• Collaborate with product management to understand and solve customer needs with analytic solutions.
• Guide engineering teams to implement analytic ideas into products.
• Partner with leaders across the business unit to identify problems and drive innovations.

Connaissances

Data science experience

Machine learning

Causal inference

Generative AI

Agentic AI

Technical aptitude

Business acumen

Communication skills

Project management

Formation

Statistics/Math/CS/Engineering degree

Description du poste

Mastercard Inc. is seeking a Senior Data Scientist, Test and Learn, to pioneer analytics strategies across an enterprise-scale analytics platform.

You will drive research, collaborate with product and engineering teams, and help translate advanced data science methods into scalable products and commercial solutions. The role focuses on applying machine learning, causal inference, and generative/agentic AI to real-world problems, with a strong emphasis on cross-functional impact and delivery