Senior Data Scientist
Posted Updated
Summary
Senior Data Scientist building and deploying machine learning and forecasting models, developing end-to-end Python/SQL data pipelines on Snowflake and Azure, monitoring model performance, and automating prediction/retraining workflows (MLOps). Also creates business insights, collaborates with onshore stakeholders, and mentors junior data scientists.
Key Responsibilities
• Build and deploy machine learning and forecasting models.
• Develop end-to-end data pipelines using Python and SQL.
• Work with large datasets from Snowflake and Azure environments.
• Monitor model performance and implement improvements.
• Develop automated prediction and retraining workflows.
• Create business-focused insights and what-if analysis.
• Collaborate closely with onshore stakeholders.
• Mentor and review the work of junior data scientists.
Requirements
Required Skills & Experience
• 5+ years of experience in Data Science.
• Strong hands-on experience with Python and SQL.
• Experience in Machine Learning, Forecasting, Regression, Classification, and
Clustering.
• Knowledge of Azure Machine Learning and Snowflake.
• Experience with MLOps, CI/CD, deployment, and model monitoring.
• Familiarity with Azure DevOps and Git.
• Strong communication and documentation skills.
Benefits
- Provident Fund
- Self Insurance
- Family Insurance
- Food
- Team Outing
- Certifications & Training Programs
- CSR
- Town-halls & Workshops