Data Science Lead
Skills
About This Role
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.
- 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.
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