Data Scientist - Python & Machine Learning

- Hands on Analytics, Data Science Modeling experience

- Experience on Machine Learning algorithms and Python (preferred)

- Command over Analytics model development process (ex. CRISP DM): Business Data

- Understanding, Data Preparation, Model Development, Validation and Deployment

- Competent in understanding customer requirement and suggesting analytical solutions/approach

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

- Statistical model (Descriptive, Predictive) development on R/ Python using various statistical machine learning techniques/algorithms

- Proficiency in Multi-variate Data Analytics techniques such as: Regression, Principal

- Component Analysis, Cluster Analysis, CHAID, Logistic Regression, Time Series Forecasting and Market Basket Association

- Outstanding ability in deriving and presenting actionable insights for data driven decision making