Data Science Lead

The role is responsible for leading the end-to-end data science lifecycle from strategic problem identification to technical execution and ensuring that advanced machine learning and optimization solutions drive measurable business value.

Key Responsibilities

• Align data science initiatives with business goals and identify high-impact use cases.
• Actively design, build, and review models (ML, forecasting, optimization), perform complex analyses, and validate results.
• Lead development of machine learning, forecasting, and optimization solutions.
• Ensure data governance, integrity, and compliance standards.
• Implement MLOps practices for deployment, monitoring, and scalability.
• Translate business needs into analytical solutions and communicate insights clearly.
• Prioritize projects, track KPIs, and ensure measurable business impact.
• Promote experimentation, new technologies, and continuous improvement.

Requirements

• Bachelor’s degree in Statistics, Data Science, Computer Engineering or Science, Mathematics, Information Technology, Artificial Intelligence.
• Minimum +5 years’ experience in data science.
• Programming & Data, Python/R, SQL and Azure ML
• Machine Learning: Supervised/unsupervised learning, forecasting, optimization
• Statistics, A/B testing, predictive & prescriptive modelling
• Model deployment, monitoring, CI/CD, versioning
• Solution Design, Scalable, reliable, and production ready model architectures
• Leadership & Mentoring.
• Decision Making.