Data Science Lead

Job description

This role is responsible for leading the end-to-end data science lifecycle from strategic problem identification to technical execution, ensuring that advanced machine learning and optimization solutions drive measurable business value. Responsibilities: Align data science initiatives with business goals and identify high-impact use cases. Design, build, and review ML, forecasting, and optimization models, perform complex analyses, and validate results. Lead the 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

• Proficient in designing, building, and reviewing ML, forecasting, and optimization models
• Proficient in performing complex analyses and validating results
• Proficient in developing machine learning, forecasting, and optimization solutions
• Knowledge of data governance, integrity, and compliance standards
• Experience with implementing MLOps practices
• Proficient in translating business needs into analytical solutions and communicating insights
• Experience in prioritizing projects and tracking KPIs.

Skills