Senior Data Scientist

- Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and programming languages like R/Python/Spark is a mandate

- Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, XGBoost, Neural Network etc.

- Hypothesis testing, insights generation, root cause analysis, factor analysis

- Statistical model (predictive & prescriptive) development using various statistical & machine learning techniques/algorithms

- Test/train the model, Improve Model accuracy, Monitor model performance

- Data Extraction from EDW/Big Data Platform, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA

- Knowledge of Python Libraries - SciPy, NumPy, Pandas, I Python, Scikit-learn

- Knowledge of distributed big data processing (PySpark, Jupyter, Linux, AWS)