Roles and Responsibilities

The role entails leveraging Data Science and Machine Learning to solve typical problems within an organization and create IP that could be deployed in a productized mode. This will entail significant hands-on work on multiple Big Data Technologies, Data Analysis, Identifying data patterns, ML models, Insights generation. The role entails deployment in a customer context and managing customer expectations.

Technical Skills Required:

• Hands on with Python or R
• Analytics using industry leading BI tools and technologies
• Implementation knowledge of supervised\un-supervised machine learning algorithms
• Good statistical analysis skills for data pre-processing and data wrangling
• Experienced in using big data frameworks like Hadoop
• Knowledge of business intelligence tools or reporting tools

Data Preparation for Modeling

• Missing Data Imputation,Outlier Treatment
• Scaling, Normalization, Standardization
• Encoding for Categorical Variables
• Oversampling\Undersampling for reducing class imbalance

Experience in building solutions using Model Library

• Feature Selection
• Tree-based Ensemble Models
• Gradient\Adaptive Boosted Trees
• Hyper-parameter tuning

Building Prediction mechanisms using methods like Logistic regression, voting classifier stacking etc