Overview The Data Scientist designs develops and deploys predictive models and advanced analytics solutions to drive business insights and operational improvements This role collaborates closely with data engineers architects and business stakeholders to translate requirements into actionable models and supports integration of AI ML into BI platforms Responsibilities Model Development Delivery Build and iterate models for churn prediction network performance and other business-critical use cases Conduct feature engineering model training validation and deployment Collaboration Integration Work with data engineers and architects to ensure data readiness and seamless model integration Support dashboarding and reporting initiatives in Tableau and other BI platforms Innovation Enablement Evaluate and implement natural language querying solutions Document model development processes and results for governance and reproducibility Continuous Improvement Monitor model performance retrain as needed and apply mitigation actions for drift and decay Stay current with emerging ML techniques and tools Requirements Technical Expertise 3 years in data science roles with hands-on experience in predictive modeling and analytics Proficiency in Python R and ML frameworks scikit-learn TensorFlow PyTorch Experience with cloud data platforms Snowflake Azure ML and BI tools Tableau Power BI Collaboration Communication Robust ability to translate business needs into technical solutions Effective communicator across technical and non-technical teams Tools Technologies Familiarity with feature engineering model validation and deployment best practices Understanding of data governance and reproducibility standards

📌 Win Data Scientist (Tamil Nadu)
🏢 Prodapt Solutions
📍 Tamil Nadu