Data Science Director Job at Mastercard (Arlington)

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

Mastercard - All Job Offers

Select Country

Data Science Director

Job Description

Job Responsibility

Requirements

Nice to have

What we offer

Looking for more opportunities?

Data Science Director

Data Science Director

Physician Director Oncology Data Science - Translational Science

Assistant Director, Data Science

Director, Data Science - AI for Work (AI4W) Ecosystem

Director, Data Science

Director Data Science

Senior Director, Data Science - Acquisition & Retention

Director, Data Science, Groups

Our AI answers in your language