Mastercard
Director,DataScientist
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“Director, Data Scientist at Mastercard. Skills: data science strategy, AI-powered solutions, machine learning, deep learning, predictive modeling, generative AI, model development, model validation, model lifecycle management, team leadership. Define and execute data science strategy aligned to AI Ops and enterprise priorities. Identify opportunities where AI and advanced analytics can improve operational resilience, performance, and decision-making”
What You'll Achieve.
improve reliability and performance at scale; improve operational resilience, performance, and decision-making; drive measurable business impact; measurable business outcomes
Industry & Context.
analytical; translating complex data into scalable AI and machine learning solutions; address complex operational challenges
Corporate Security Responsibility, Abide by Mastercard’s security policies, Ensure the confidentiality and integrity of the information being, Report any suspected information security violation or breach, Complete all periodic mandatory security trainings
What They're Looking For.
Must Have
Advanced expertise in data science, Advanced expertise in machine learning, Advanced expertise in artificial intelligence, Advanced expertise in predictive modeling, Proven ability to deliver enterprise-scale solutions that drive measurable business impact, Strong experience applying machine learning, Strong experience applying deep learning, Strong experience applying generative AI techniques to large-scale, complex datasets and operational challenges, Strong foundation in applied mathematics, Strong foundation in statistics, Strong foundation in algorithm design, Strong foundation in model validation, Ability to build scalable, robust, and business-aligned solutions, Proven ability to translate complex data into actionable insights, Proven ability to define success metrics, Proven ability to influence strategic business decisions through analytics, Demonstrated success leading high-performing data science teams, Demonstrated success mentoring junior team members, Demonstrated success developing talent, Demonstrated success aligning team capabilities to long-term business and organizational strategy, Abide by Mastercard’s security policies, Ensure the confidentiality and integrity of the information being, Report any suspected information security violation or breach, Complete all periodic mandatory security trainings
Nice to Have
Familiarity with AI Ops, Familiarity with MLOps, Familiarity with model lifecycle management, Familiarity with production deployment, Familiarity with highly regulated large-scale enterprise environments
What You'll Do.
Define and execute data science strategy aligned to AI Ops and enterprise priorities
Identify opportunities where AI and advanced analytics can improve operational resilience
and deployment of machine learning
and generative AI solutions that address complex operational challenges
Establish best practices for model development
and lifecycle management to ensure scalable
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
and AI/ML Engineering teams to operationalize models and enable intelligent automation across platforms
Build and develop high-performing data science teams
and mentorship for junior team members
How You'll Work.
Team & Collaboration
Partner across Engineering, Product, Operations, and AI/ML Engineering teams to operationalize models and enable intelligent automation across platforms
Communication Scope
Translate complex data and analytical insights into strategic recommendations that influence executive decision-making
Full Job Description
**Our Purpose** _Mastercard powers economies and empowers people in 200 + countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential._ **Title and Summary** ### Director, Data Scientist ### Overview 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 at scale. The 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. Role -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. A
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