We are looking for a highly skilled Senior Data Scientist to join our India-based team in a remote capacity. This
role focuses on building and deploying advanced predictive models to influence key business decisions. The
ideal candidate should have strong experience in machine learning, data engineering, and working in cloud
environments, particularly with AWS.
You'll 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. This is
a fantastic opportunity to work on impactful AI/ML solutions within a dynamic and innovative team.
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.
• Deliver actionable insights from complex datasets to support strategic decision-making.
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.
• Present 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.
Qualifications:
• Master’s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
• 5+ years of relevant experience in data science, predictive modeling, and machine learning.
• Experience working in cloud-based data science environments (AWS preferred).
Python, Machine Learning, Predictive Modeling, AWS SageMaker, AWS Glue, Bedrock, TensorFlow, PyTorch, Scikit-learn, Pandas, Jupyter Notebook, ETL Pipelines, Data Engineering, Forecasting, Generative AI, LLMs, Cloud Computing, Data Analytics, Model Deployment, Agile, AWS Cloud