Lead Data Scientist

About the role

Lead the design, development, and deployment of advanced Machine Learning solutions to solve complex business and operational challenges. Develop and optimize models across areas such as classification, clustering, anomaly detection, forecasting, recommendation systems, and predictive analytics. Drive the full model lifecycle from data exploration and feature engineering through experimentation, evaluation, deployment, and monitoring.

What you'll do

• Lead the design, development, and deployment of advanced Machine Learning solutions to solve complex business and operational challenges
• Develop and optimize models across areas such as classification, clustering, anomaly detection, forecasting, recommendation systems, and predictive analytics
• Drive the full model lifecycle from data exploration and feature engineering through experimentation, evaluation, deployment, and monitoring
• Define model performance metrics, validation frameworks, and success criteria to ensure business relevance and measurable impact
• Identify opportunities to leverage data and AI to improve operational efficiency, automation, decision-making, and user experience

What you need

• 9–16 yrs of experience
• Machine learning
• LLMs
• Statistics
• Prompt engineering
• Data analysis
• Any graduate