Top Tech Jobs & Startup Jobs in Dublin

Research and develop innovative data science methods for Mastercard’s Test & Learn analytics platform. Apply machine learning, causal inference, and generative or agentic AI to high-volume datasets and commercial challenges. Collaborate with product management, engineering, and business leaders to translate analytical ideas into scalable products, guide implementation, solve customer needs, manage workstreams, and mentor teammates.

Research and develop innovative data science methods for Mastercard’s Test & Learn analytics platform. Apply machine learning, causal inference, and generative or agentic AI to high-volume business problems, translate research into scalable products, collaborate with product and engineering teams, and influence strategic decisions through advanced analytics.

Conduct analytic research for Mastercard’s Test & Learn platform, developing innovative data science methods and scalable solutions for complex business challenges. Collaborate with product management, engineering, and business leaders to identify customer needs, guide implementation, and influence commercial decisions using high-volume datasets. Apply machine learning, causal inference, generative AI, and agentic AI while mentoring teammates and managing cross-functional workstreams.

Leads strategy, roadmap, backlog, delivery, and operationalization of AI-powered products and platform capabilities. Defines AI rules, decision criteria, success metrics, and exception processes while partnering with engineering, data science, business, risk, operations, and customer success teams. Oversees Agile delivery, technical trade-offs, APIs, data flows, scalability, monitoring, and continuous optimization of AI outcomes.

Conduct analytic research for Mastercard’s Test & Learn platform, developing machine learning, causal inference, and generative AI solutions for complex business problems. Collaborate with product management, engineering, and business leaders to translate research into scalable products and commercial solutions. Apply innovative analytics to high-volume datasets, guide implementation, manage cross-functional workstreams, communicate findings, solve problems, and mentor teammates.

Lead the strategy, roadmap, delivery, and operational performance of AI-powered products and platform capabilities. Own backlogs, requirements, prioritization, release planning, AI business rules, success metrics, and continuous optimization. Partner with engineering, data science, architecture, business, risk, operations, and customer success teams to deliver scalable solutions involving APIs, data services, cloud platforms, and machine learning.

Lead end-to-end product design for Mastercard’s small-business web, mobile, and platform experiences. Conduct research, identify opportunities, shape product strategy, prototype solutions, and deliver high-fidelity accessible designs. Collaborate with product managers, engineers, researchers, and stakeholders while evolving scalable design systems and applying human-centered design, analytics, experimentation, and AI-assisted tools. Present recommendations to leadership and help bring innovative B2B and B2B2C products to market.

Leads strategy, roadmap, backlog, delivery, and operational performance for AI-powered products and platform capabilities. Partners with engineering, data science, business, risk, and operations teams to define requirements, manage AI rules, prioritize features, establish success metrics, and optimize outcomes. Provides technical product leadership across APIs, data flows, cloud platforms, scalability, security, and platform architecture while coordinating agile delivery and communicating priorities, risks, and results to leadership.

Research and develop innovative data science functionality for Mastercard’s Test & Learn analytics platform. Apply machine learning, causal inference, and generative or agentic AI to high-volume datasets and commercial problems. Collaborate with product management, engineering, and business leaders to translate analytical concepts into scalable products and solutions. The role also requires strong communication, project management, problem-solving, and mentoring skills.

Conduct analytic research for Mastercard’s Test & Learn platform, developing novel data science methods and scalable solutions for business experimentation and optimization. Collaborate with product management, engineering, and business leaders to identify customer needs, guide implementation, analyze high-volume datasets, and influence commercial decisions. The role requires machine learning, causal inference, generative or agentic AI experience, strong communication, project management, and mentoring skills.