Data Scientist

• Design, develop & deploy ML/AI models for business use cases.
• Drive predictive analytics, data mining & data intelligence initiatives.
• Support Master Data Governance (MDG) and data quality initiatives.
• Develop and optimize data pipelines & ML workflows using Azure Databricks.
• Build, train, evaluate & deploy models using Azure Machine Learning.
• Manage experiment tracking, model versioning & lifecycle using MLflow.
• Perform data preprocessing, feature engineering & model tuning.
• Monitor model performance, scalability, reliability & accuracy.
• Create dashboards and visualizations to communicate analytical insights.
• Collaborate with business and technical teams to deliver analytical solutions.

• 5+ years of experience in Data Science / Machine Learning / AI.
• Strong hands-on experience with Python, SQL & data manipulation libraries.
• Expertise in Azure Databricks, Azure ML & MLflow.
• Experience with Master Data Governance and data quality.
• Strong knowledge of statistical analysis, predictive modeling & visualization.
• Understanding of cloud-based data platforms and scalable ML architectures.

Preferred / Nice to Have

• Generative AI / LLM experience.
• MLOps & ML CI/CD practices.
• Power BI or other visualization tools.
• Agile development experience.
• Azure Data Engineering / AI-ML certifications.
• Exposure to enterprise data governance & compliance.