3 Days Left: Lead

4 weeks ago

Gurugram India IndiGo (InterGlobe Aviation Ltd) Full time

Job Description 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 - 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 Nice-to-Have / Preferred Skills - 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 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 - Azure AI Engineer Associate (preferred) - Azure Data Scientist Associate (preferred) - MLflow or DVC certification (preferred) Skills Grouping & Synonyms - 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

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