Job Description
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.
All About You
-Advanced expertise in data science machine learning artificial intelligence and predictive modeling with proven ability to deliver enterprise-scale solutions that drive measurable business impact
-Strong experience applying machine learning deep learning and generative AI techniques to large-scale complex datasets and operational challenges
-Strong foundation in applied mathematics statistics algorithm design and model validation with the ability to build scalable robust and business-aligned solutions
-Proven ability to translate complex data into actionable insights define success metrics and influence strategic business decisions through analytics
-Demonstrated success leading high-performing data science teams mentoring junior team members developing talent and aligning team capabilities to long-term business and organizational strategy
-Familiarity with AI Ops MLOps model lifecycle management production deployment or highly regulated large-scale enterprise environments is highly valued
Corporate Security Responsibility
Every person working for or on behalf of Mastercard is responsible for information security. All activities involving access to Mastercard assets information and networks comes with an inherent risk to the organization and therefore it is expected that the successful candidate for this position must:
-Abide by Mastercard's security policies and practices;
-Ensure the confidentiality and integrity of the information being accessed;
-Report any suspected information security violation or breach; and
-Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
Mastercard is a merit-based inclusive equal opportunity employer that considers applicants without regard to gender gender identity sexual orientation race ethnicity disabled or veteran status or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada if you require accommodations or assistance to complete the online application process or during the recruitment process please contact [email protected] and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly.
Corporate Security Responsibility
All activities involving access to Mastercard assets information and networks comes with an inherent risk to the organization and therefore it is expected that every person working for or on behalf of Mastercard is responsible for information security and must:
- Abide by Mastercard's security policies and practices;
- Ensure the confidentiality and integrity of the information being accessed;
- Report any suspected information security violation or breach and
- Complete all periodic mandatory security trainings in accordance with Mastercard's guidelines.
In line with Mastercard's total compensation philosophy and assuming that the job will be performed in the US the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors including but not limited to location job-related knowledge skills and experience. Mastercard benefits for full time (and certain part time) employees generally include: 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; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations.
Pay Ranges
O'Fallon Missouri: $170000 - $281000 USD
Skills Required
- Advanced expertise in data science
- Strong experience in machine learning
- Strong foundation in applied mathematics
- Proven ability to translate complex data into actionable insights
- Demonstrated success leading data science teams
- Familiarity with AI Ops and model lifecycle management
What the Team is Saying


Mastercard Compensation & Benefits Highlights
- Retirement Support—Retirement programs include an employer match up to 10% (401k or local equivalent) consistently highlighted in careers materials. Feedback suggests this is a standout component of total rewards.
- Parental & Family Support—A global minimum of 16 weeks paid new‑parent leave is offered for birth adoption or foster placements with financial assistance for fertility adoption and surrogacy where allowed. Feedback suggests these provisions are robust relative to many large employers.
- Flexible Benefits—Flexibility features include hybrid work a four‑week “work from elsewhere” program quarterly meeting‑free days and five paid volunteer days. Feedback suggests these options support work/life balance across many roles.
Mastercard Insights
What We Do
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers we’re building a resilient 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.
Why Work With Us
We live the Mastercard Way: creating value in the communities we touch growing together through the opportunities we see and moving fast to innovate and scale. Our collaborative culture and our passionate people are the key to what we do driving meaningful change as one team and connecting everyone to priceless possibilities.
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Mastercard Teams
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Hybrid Workspace
Employees engage in a combination of remote and on-site work.
In our ongoing workplace evolution we’ve introduced hybrid work Work-From-Elsewhere Weeks and Meeting-Free Days.










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Date Posted
05/21/2026
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