Job Description

Data Scientist (Databricks | AWS)

Key Responsibilities:

Perform end-to-end exploratory data analysis (EDA), identifying trends, statistical relationships, classifications, and executing feature engineering. Apply dimension-reduction techniques and write optimized, computationally efficient code following best practices. Develop, train, hypertune, test, and validate a wide range of models, including regression, propensity, classification, computer vision, segmentation, and anomaly detection. Execute rapid prototyping to assess model feasibility and proof of concept. Deploy models across DEV/UAT/PROD environments using CI/CD pipelines, including full parameterization of code. Work extensively with Databricks and AWS to build scalable, production-grade ML solutions. Collaborate with cross-functional teams within the utilities domain to translate business problems into analytical solutions.
Job Types: Full-time, Permanent

Pay: ?1,500,000.00 - ?2,000,000.00 per year

Benefits:

Health insurance Provident Fund Work from home
Experience:

Data Scientist: 10 years (Required) Databricks: 5 years (Required) AWS: 5 years (Required) Utility/Energy: 5 years (Required) * DEV/UAT/PROD: 5 years (Required)