Lead Data Scientist

About the role

As a Lead Data Scientist, you will lead the design, development, validation, and operationalization of machine learning and advanced analytics solutions that power intelligent products and business capabilities. This role combines strong hands-on expertise in model development with practical experience in MLOps, deployment, monitoring, and lifecycle management.

What you'll do

• Lead the design, development, evaluation, and deployment of machine learning models for predictive, classification, recommendation, anomaly detection, forecasting
• Translate business and product requirements into well-defined analytical approaches, model strategies, feature sets, evaluation methods, and deployment plans
• Build robust and reusable pipelines for data preparation, feature engineering, model training, validation, hyperparameter tuning, and model packaging
• Develop and operationalize production-grade ML solutions with strong focus on reproducibility, maintainability, scalability, and measurable business impact
• Partner with data engineers and software engineers to integrate models into applications, APIs, workflows, and downstream business systems

What you need

• 8–14 yrs of experience
• Machine learning
• SQL
• MLOps
• Python
• Scikit-learn
• Pandas
• Any graduate

Good to have

• LLMs
• NLP
• Databricks
• TensorFlow
• NumPy
• PyTorch