Job Opportunity
We are seeking an experienced Data Science Leader to spearhead our Artificial Intelligence (AI) initiatives. This is a high-impact role that will shape the future of our business.
Responsibilities
Lead cross-functional AI/ML teams from concept to production, including experimentation, deployment, and monitoring. Define and evolve the AI/ML strategy in alignment with business goals and ethical AI practices. Mentor and grow a team of data scientists, machine learning engineers, and analysts. Serve as a technical advisor to executives on AI strategy, model risk, and innovation opportunities.
Key Skills
Design, build, and optimize ML models using Python, TensorFlow, PyTorch, Scikit-learn, or similar frameworks. Architect scalable data pipelines and model serving infrastructures on cloud platforms (AWS, GCP, Azure). Implement ML Ops best practices: CI/CD for models, version control, reproducibility, monitoring, and retraining. Conduct model performance analysis, A/B testing, and error diagnostics to ensure business impact and fairness.
Data Science Focus
Develop predictive, descriptive, and prescriptive models for real-time and batch use cases. Collaborate on experiment design, causal inference, and hypothesis testing. Drive data storytelling and actionable insight delivery through dashboards and stakeholder engagement.
Leadership & Responsible AI
Ensure AI systems are explainable, transparent, and compliant with regulatory or internal policies. Champion fairness, bias mitigation, and human-centered AI principles. Ensure AI systems meet corporate security responsibility standards, adhering to Mastercard's security policies and practices.