Top Skills' DetailsAdvanced Python, R, SQL for data manipulation and model development
End-to-end ML lifecycle (build, deploy, monitor, retrain)
Forecasting, recommender systems, predictive analytics
MLOps practices (CI/CD, monitoring, governance)
Data storytelling for executive audiences
Statistical modeling, experimentation, hypothesis testing
Description
Lead Data Scientist responsible for defining and executing analytics and ML strategy to improve business performance and customer experience. Leads development of forecasting, predictive, and recommendation models, partnering with ML Ops and engineering to ensure scalable deployment and lifecycle management. Owns architecture, standards, and quality of analytical products while mentoring team members and collaborating with business and technology stakeholders.
Skills
mlops, feature engineering, statistical models, power bi, python, sql, machine learning, databricks, azure devops, digital analytics
Top S...