IndiGo - Lead Data Scientist - Azure Platform

3 days ago

Gurugram, India IndiGo Full time

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 :- Bachelors or Masters degree in Computer Science, Statistics, Mathematics, or related field.Secondary / Acceptable Alternatives Education :Preferred :- Bachelors in Engineering or equivalent with relevant experience in customer analytics.Secondary :- Masters 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. (ref:hirist.tech)

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