Lead - Data Scientist

Job Summary

Lead customer analytics and personalization initiatives using Azure AI services and large-scale customer data platforms.

Key Responsibilities

• Design and deploy machine learning models using Azure Machine Learning for customer segmentation, churn prediction, lifetime value estimation, and recommendation systems.
• Analyze historical customer data to uncover behavioral patterns and actionable insights.
• Build and optimize recommendation engines using collaborative, content-based, and hybrid approaches.
• Develop and evaluate targeted marketing campaigns using predictive analytics and personalization strategies.
• Operationalize ML workflows using Azure MLOps (CI / CD, model versioning, monitoring, retraining).
• Collaborate with data engineering to build scalable data pipelines using Azure Data Factory and Azure Synapse Analytics.
• Integrate models with real-time systems using Azure Functions, Event Grid, and API Management.
• Present insights and model outcomes to stakeholders through dashboards and storytelling using Power BI.

Required Skills / Must-Have

Nice-to-Have / Preferred Skills

Education & Qualifications

Primary Education : Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or related field

Secondary / Acceptable Alternatives Education

Preferred : Bachelor's in Engineering or equivalent with relevant experience in customer analytics

Secondary : Master's in Data Science or AI

Certifications / Licenses

Skills Grouping & Synonyms

Skills Required

Logic Apps, Sql, Tensorflow, Azure Data Factory, Pytorch, Azure Functions, snowflake , Azure Synapse Analytics, XGBoost, Azure Machine Learning, Python