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CA$154,000 – CA$247,000
Listed on Mastercard’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
Lead a data science team building merchant risk intelligence and profiling systems within Mastercard's identity and fraud prevention platform. This role suits experienced ML leaders who can drive both technical strategy and team development while partnering across product and engineering to deliver production-grade AI solutions at scale.
Our summary, not Mastercard’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- Master's or PhD in Data Science, Machine Learning, or related field
- Experience leading a Data Science team
- Track record deploying ML models in production at scale
- Proficiency with Python and SQL
- Experience with scalable ML and cloud frameworks
- Ability to guide teams in technique selection and rigorous solution validation
- Proven success translating business problems into data science initiatives
- Understanding of Agile methodologies
- Stakeholder management and communication skills across technical and non-technical audiences
- Ability to build teams and deliver measurable business value
Nice to have
- Experience building or scaling shared data science platforms, registries, or enterprise data assets
- Familiarity with merchant risk, fraud, or identity ecosystems
- Experience driving cross-team standardization and reusable capabilities
- Exposure to governance frameworks for model validation and AI systems