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$140,000 – $231,000
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 at Mastercard's Finicity division, building machine learning models for financial applications like transaction classification and risk assessment. This role suits experienced data scientists who excel at both technical leadership and translating complex analyses for business stakeholders.
Our summary, not Mastercard’s wording. The full posting is on their site.
Skills this role names
- Deep Learning
- Docker
- GenAI (Generative AI)
- Kubernetes
- LLMs (Large Language Models)
- Machine Learning
- Pandas
- Python
- REST APIs
- scikit-learn
- SQL
- Statistical Modeling
- TensorFlow
- XGBoost
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What they ask for
Required
- Lead and mentor a data science team
- Develop and deploy machine learning models in production
- Experience with financial transactional data and risk modeling
- Strong communication and presentation skills to technical and business audiences
Nice to have
- PhD or Master's degree in Computer Science, Mathematics, Statistics, or Engineering
- Experience with Kubernetes, Docker, containers, or event streams
- Familiarity with GenAI, LLMs, or agentic AI
- Finance or FinTech industry background
- Text analysis and annotation experience