Job Title: Senior Data Scientist (Remote – India) | Predictive Modeling & ML
Location: Remote (India)
Job Type: Full-Time
Experience Required: 5+ Years
About the Role
We’re seeking an experienced Senior Data Scientist to join our remote India-based team. In this role, you’ll lead the development and deployment of advanced predictive models and machine learning solutions that drive key business decisions. If you're passionate about solving complex problems using AI/ML and cloud technologies, we’d love to hear from you.
Key Responsibilities
Predictive Modeling & Machine Learning
- Develop, train, and deploy ML models for forecasting, optimization, and business intelligence.
- Use tools like AWS SageMaker, Bedrock, TensorFlow, and PyTorch.
- Perform rigorous model validation, tuning, and performance monitoring.
Data Engineering & Cloud Infrastructure
- Design and manage scalable ETL pipelines using AWS Glue.
- Optimize cloud data infrastructure and integrate services across the AWS ecosystem.
- Maintain high standards for data integrity and availability.
Python Development
- Write clean, efficient, and reusable Python code using libraries like pandas, scikit-learn, TensorFlow, and PyTorch.
- Ensure proper documentation and adherence to coding best practices.
Collaboration & Agile Practices
- Work closely with cross-functional teams (engineering, analytics, business).
- Present insights to technical and non-technical stakeholders clearly.
- Participate in Agile processes—sprint planning, stand-ups, retrospectives.
Preferred Qualifications
- Master's or Ph.D. in Computer Science, Statistics, Mathematics, or a related field.
- 5+ years of experience in data science, ML, and predictive analytics.
- Hands-on experience with cloud platforms (AWS preferred).
- Familiarity with LLMs and Generative AI is a plus.
- Experience with geospatial data or applications in utility/energy sectors is advantageous.