Senior Data Scientist (Remote – India) – Predictive Modeling & Machine Learning

Job Title:

Location:

Job Type:

Experience:

Senior Data Scientist

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 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).