Senior Data Scientist

Role & responsibilities

• 5+ years of experience in Data Science.
• Machine Learning model development and deployment.
• Forecasting models.
• Regression techniques.
• Classification techniques.
• Clustering algorithms.
• Model performance monitoring and optimization
• Strong hands-on experience in: Python & SQL
• Development of end-to-end data pipelines.
• Working with large datasets.

Cloud, Data Platforms, MLOps & Deployment

• Azure Machine Learning
• Azure Cloud environment.
• Snowflake Data Platform.
• MLOps practices.
• CI/CD implementation.
• Model deployment.
• Automated retraining workflows.
• Model monitoring.

Ideal Candidate Profile

• 5+ years of Data Science experience.
• Strong Python and SQL expertise.
• Hands-on Azure ML and Snowflake experience.
• End-to-end ML lifecycle ownership (development, deployment, monitoring).
• Forecasting and predictive analytics expertise.
• MLOps and CI/CD implementation experience.
• Ability to work with business stakeholders and mentor junior team members