Advanced Data Professional

3 days ago

amravati, India beBeeData Full time

Job OpportunityWe are seeking a highly skilled Data Analyst to join our team in a remote capacity.This role focuses on building and deploying advanced predictive models to inform key business decisions. The ideal candidate should have strong experience in data analysis, machine learning, and working in cloud environments, particularly with AWS.The Data Analyst will be collaborating closely with cross-functional teams to design, develop, and deploy cutting-edge ML models using tools like SageMaker, Bedrock, PyTorch, TensorFlow, Jupyter Notebooks, and AWS Glue.The ideal candidate will have a Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field, and 3+ years of relevant experience in data science, predictive modeling, and machine learning.Key Responsibilities:Predictive Modeling & Machine Learning:Develop 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.Data Engineering & Cloud Computing:Design 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 Programming:Write 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 & Communication:Work with engineering, analytics, and business teams to understand and solve business challenges.Presentation complex models and insights to both technical and non-technical stakeholders.Participate in sprint planning, stand-ups, and reviews in an Agile setup.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.

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