Director, Data Scientist

MastercardO'fallon, MO
$170,000 - $281,000Onsite

About The Position

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.

Requirements

  • 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

Nice To Haves

  • Familiarity with AI Ops, MLOps, model lifecycle management, production deployment, or highly regulated large-scale enterprise environments is highly valued

Responsibilities

  • 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.

Benefits

  • insurance (including medical, prescription drug, dental, vision, disability, life insurance)
  • flexible spending account and health savings account
  • 16 weeks of new parent leave
  • up to 20 days of bereavement leave
  • 80 hours of Paid Sick and Safe Time
  • 25 days of vacation time
  • 5 personal days
  • 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
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service