IndiGo - Lead Data Scientist - Azure Platform
IndiGoGurgaon4 days ago
Job descriptionDesign 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. Technical Skills : Python, SQL, scikit-learn, XGBoost, TensorFlow, PyTorch. Azure Services : Azure Machine Learning, Azure Synapse Analytics, Azure Data Factory, Azure Cognitive Services, Azure Functions & Logic Apps, Azure. Experience : 5+ years in data science with focus on customer analytics and personalization. Platforms : Customer Data Platforms (Adobe Experience Platform, Salesforce CDP, Segment). MLOps Tools : MLflow, Azure ML Pipelines, DVC. Data Warehousing : Snowflake or equivalent. Statistical Methods : A / B testing, causal inference, statistical modeling. Industry Experience : Airline, travel, or retail industry. Architecture : Real-time personalization and event-driven architectures using Azure Event Hubs or Kafka. Deployment : FastAPI or Flask integrated with Azure API Management. Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field. Bachelors in Engineering or equivalent with relevant experience in customer analytics. Masters in Data Science or AI. Azure AI Engineer Associate (preferred). Azure Data Scientist Associate (preferred). MLflow or DVC certification (preferred). Customer Analytics : Customer segmentation / churn prediction / LTV modeling. Recommendation Systems : Collaborative filtering / content-based / hybrid. Azure AI : Azure ML / Synapse / Data Factory / Cognitive Services. MLOps : CI / CD / model monitoring / retraining / ML pipelines. Real-time Systems : Azure Functions / Event Grid / API Management.
Description : Job Summary :
- Lead customer analytics and personalization initiatives using Azure AI services and large-scale customer data platforms.
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(ref : hirist.tech)
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Lead Data Scientist • Gurgaon
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