Job Description

We are looking for an experienced Data Scientist / Advanced Analytics professional with strong expertise in statistical modelling, predictive analytics, experimentation, and Azure data platforms. The ideal candidate will be responsible for developing analytical models, translating business problems into data-driven solutions, and delivering insights that drive measurable business impact.

The role requires robust hands-on expertise in Python, SQL, statistical modelling, machine learning, and Azure, along with the ability to work closely with business and senior stakeholders.

Key Responsibilities

Modelling & Analytics
- Build, validate, and deploy predictive, statistical, and time-series models using Python and R.
- feature engineering, model selection, cross-validation, and hyperparameter tuning techniques.
- Develop models using regression, tree-based algorithms, clustering, and forecasting techniques.
- Interpret model results and translate them into actionable business insights.
- Document model methodologies, assumptions, validation results,



and performance metrics.
Experimentation & Causal Analysis
- Design and analyse A/B tests and controlled experiments.
- Define appropriate metrics, sample sizes, statistical power, and validation approaches.
- causal inference methodologies where controlled experimentation is not feasible.
- Evaluate experiment results and provide clear recommendations to stakeholders.
Data & Azure Platform
- Develop complex SQL queries for large-scale analytical datasets using Azure SQL and Azure Synapse.
- Build and maintain data pipelines using Azure Data Factory and Databricks.
- Leverage Azure Machine Learning for experiment tracking, model management, and deployment.
- best practices in data modelling, performance optimization, version control, and production-grade analytics workflows.
Stakeholder Engagement
- Translate complex business problems into structured analytical approaches.
- Manage analytics projects from

📌 Manager (Bengaluru)
🏢 Course5
📍 Bengaluru