Senior Data Scientist - Predictive Modeling & Machine Learning

Key Responsibilities:Predictive Modeling & Machine LearningDevelop and deploy machine learning models for forecasting, optimization, and predictive analytics.Use tools such as AWS SageMaker, Bedrock, LLMs, TensorFlow, and PyTorch for model training and deployment.Perform model validation, tuning, and performance monitoring.Deliver actionable insights from complex datasets to support strategic decision-making.Data Engineering & Cloud ComputingDesign scalable and secure ETL pipelines using AWS Glue.Manage and optimize data infrastructure in the AWS environment.Ensure high data integrity and availability across the pipeline.Integrate AWS services to support the end-to-end machine learning lifecycle.Python ProgrammingWrite efficient, reusable Python code for data processing and model development.Work with libraries like pandas, scikit-learn, TensorFlow, and PyTorch.Maintain documentation and ensure best coding practices.Collaboration & CommunicationWork with engineering, analytics, and business teams to understand and solve business challenges.Present complex models and insights to both technical and non-technical stakeholders.Participate in sprint planning, stand-ups, and reviews in an Agile setup.5+ years of relevant experience in data science, predictive modeling, and machine learning.Preferred Experience (Nice to Have):• Experience with applications in the utility industry (e.g., demand forecasting, asset optimization).• Exposure to Generative AI technologies.• Familiarity with geospatial data and GIS tools for predictive analytics.• Experience working in cloud-based data science environments (AWS preferred).

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