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Data Science Director

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Mastercard

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Location:
United States of America , Arlington

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Contract Type:
Not provided

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Salary:

179000.00 - 305000.00 USD / Year

Job Description:

At Mastercard, we’re building an Agentic AI platform to transform how our products and services deliver intelligent, personalized experiences. We are looking for a Data Science Director to lead the development and deployment of our Graph database and Reinforcement Learning capabilities in a multi-agent simulation platform.

Job Responsibility:

  • Define and execute the data science vision and roadmap for Graph database and Reinforcement Learning capabilities, aligning initiatives with business priorities and product strategy
  • Recruit, lead, and mentor a high-performing data science team, fostering a culture of technical excellence, innovation, and collaboration
  • Partner with product, engineering, and business leaders to shape requirements and deliver data-driven capabilities that improve customer experience and reduce disputes
  • Build and scale Graph database and Reinforcement Learning capabilities that enrich merchant and transaction data
  • Guide the design and implementation of Graph database and Reinforcement Learning capabilities that leverage generative AI, multi-agent systems, NLP, and computer vision to enhance platform experiences
  • Monitor and continuously improve deployed models to ensure accuracy, reliability, and compliance in a regulated financial environment
  • Provide hands-on technical leadership in model development, deployment, and governance across cloud environments (Azure, Snowflake, Spark)
  • Ensure compliance with Mastercard’s data governance, security, and privacy requirements
  • Review and oversee code, models, and engineering components developed by the team to maintain enterprise-grade standards
  • Drive exploration of cutting-edge technologies, including generative AI and agentic frameworks, to strengthen the product offering and Mastercard technical competence
  • Represent Mastercard’s AI leadership through patents, publications, conference presentations, and academic partnerships
  • Incubate prototypes and proofs-of-concept to evaluate new methods before scaling into production

Requirements:

  • Proven experience leading data science teams and delivering enterprise-scale AI/ML solutions
  • Deep expertise in supervised, unsupervised, and generative AI methods, with strong understanding of their mathematical foundations
  • Hands-on background in building and implementing Graph database and Reinforcement Learning capabilities in real world applications
  • Strong track record of translating complex data problems into scalable, measurable business outcomes
  • Proficiency in Python, ML frameworks (Scikit-learn, PyTorch, TensorFlow), SQL, Spark, and Azure ML/Snowflake
  • Experience working in highly regulated industries, with an emphasis on data governance and compliance
  • Skilled at engaging with senior stakeholders, presenting technical results to diverse audiences, and driving alignment across functions
  • Master’s degree required
  • PhD preferred

Nice to have:

  • Experience in payments, FinTech, or consumer transaction data
  • Prior patents or publications in AI/ML
  • Demonstrated success applying GenAI or multi-agent systems in production environments
What we offer:
  • insurance (including medical, prescription drug, dental, vision, disability, life insurance)
  • flexible spending account and health savings account
  • paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
  • 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
  • 10 annual paid U.S. observed holidays
  • 401k with a best-in-class company match
  • deferred compensation for eligible roles
  • fitness reimbursement or on-site fitness facilities
  • eligibility for tuition reimbursement

Additional Information:

Job Posted:
January 02, 2026

Employment Type:
Fulltime
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