Lead - Data Scientist

3 days ago

Gurgaon, Haryana, India IndiGo (InterGlobe Aviation Ltd) Full time

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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