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Job Description for Data Scientist
Objectives and Purpose
The Lead Data Scientist is responsible for applying expertise and best practices in full-stack data science capabilities including advanced data analytics, statistical modeling (AI/ML), MLOps, data engineering, and data visualization to develop data-driven solutions to enable business insights. This individual partners closely with Business Unit Leaders to model complex problems, derive analytical conclusions, and identify opportunities for improvement. The Lead Data Scientist will: Apply strong expertise in artificial intelligence through use of machine learning, data mining, and information retrieval to design,



prototype and build next generation advanced analytics engines and services. Translate processes and requirements into analytical solutions and metrics, that can contribute towards data-driven solutions and strategies for the business. Develop user friendly analytical models for the business to provide data driven actionable insights which would enable a more informed decision-making. Your key responsibilities
Data Science
Develop customer-centric solutions with recommended data model and business intelligence (BI) technologies. Create repeatable, interpretable, agile, and scalable statistical models that are seamlessly incorporated into analytic data products, ability to discover correlations between variables and generate predictions/forecasts of data-driven decisions. Extract, transform, and load data from one data source (, Databricks) into a single, consistent data source for data modelling and workflow orchestration purposes (, representations

📌 EY - GDS Consulting - AI And DATA - Data Scientist - Senior - E (Coimbatore)
🏢 WomenTech Network
📍 Coimbatore