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The Specialist will create and manage marketing materials, work with various teams, and communicate product initiatives aligned with company standards.
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As a Lead Field Data Scientist at Mastercard, you will support sales and product development, leveraging machine learning for fraud detection, maintaining client relationships, and advising on data integration.
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As Senior Specialist in Product Management, you'll lead data-driven product strategies, collaborate with teams to improve offerings, and drive solutions for customer needs.
16 Hours AgoSaved
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As a Technical Program Management Intern, you will gain experience in program management, technology delivery, and cross-functional collaboration, contributing to global initiatives and enhancing efficiency and automation.
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As a Lead Software Engineer, you'll develop backend services, manage deployments, mentor engineers, and uphold coding standards in a hybrid setting.
2 Days AgoSaved
Blockchain • Fintech • Payments • Consulting • Cryptocurrency • Cybersecurity • Quantum Computing
The Associate Managing Consultant will deliver consulting projects, develop strategies for global clients, analyze data, and provide recommendations to drive value for clients.
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Lead the development of identity verification products, translating strategic goals into actionable roadmaps, managing cross-functional teams, and driving product lifecycle activities.
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As a Data Scientist I, you will analyze complex data, prototype machine learning models, and support product development using data-driven applications.
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Manage the Digital Safari program by enhancing thought leadership offerings, designing new propositions, and building partnerships in North America and Latin America.
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As a Machine Learning Engineer, you'll develop AI and ML models, optimize processes, create scalable ML tools, and collaborate with data scientists to manage data and deploy solutions.
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As a Software Engineer Intern, you will write high-quality code, engage in various software development phases, and contribute to the team's goals. You will also participate in mentorship and networking opportunities.
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Develop and enhance AI agents and backend systems, evaluate LLMs, design prompts, and implement safeguards for Mastercard's AI platform.
