Data Scientist – Time Series, Statistical Modelling & Azure Data Bricks
On-site · Bengaluru, Karnataka, India or Pune, Maharashtra, India
Job Summary
Data Scientist – Time Series, Statistical Modelling & Azure Data BricksRole to develop advanced analytics solutions using Python, Azure and Databricks with emphasis on time-series forecasting, geospatial analytics, model explainability, and large-scale data analysis to support data-driven decision making. Responsibilities include feature engineering, building and deploying predictive models, designing statistical forecasting and time-series models, creating geospatial location-based analytics, applying explainability techniques, developing scalable analytical solutions on Databricks and Azure, collaborating with business/technical teams to translate requirements, ensuring data quality and governance throughout the model lifecycle, and contributing to reusable analytical frameworks and best practices.
Required Qualifications
- Data Science & Analytics
- Statistical Modelling and Forecasting
- Time-Series Analysis
- Machine Learning
- Model Explainability & Interpretation
- Feature Engineering
- Hypothesis Testing and Predictive Analytics
- Programming
- Python
- SQL
- Libraries: Pandas, NumPy, Scikit-learn, Statsmodels, Prophet, Scipy
- Geospatial Analytics (GeoPandas, Shapely or similar)
- Cloud & Platform: Databricks, Azure Data & Analytics ecosystem, Spark/PySpark
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