- Hands on Development and Complete Life Cycle experience on one
of the Data Analytics Platform Environment like Rapid Miner, Python,
R and other implementation like Google Analytics, Big ML and Azure
- While most of these tools can be useful, a special concentration would
be on Rapid Miner tool and knowledge of Python and R is also preferred.
- Utilize Rapid Miner, Python and R for Statistical Analysis as appropriately.
- Good understanding of both open source and commercial distributions
available in the market.
- Should have strong implementation of experience of Predictive
Analytics Algorithms like
Decision Tree Algorithm
Linear Regression Algorithm
Naïve Bayes Algorithm
Neural Network Algorithm
Sequence Clustering Algorithm
Time Series Algorithm
- Also knowledge on the Python and R Packages for the following algorithms
Machine Learning & Statistical Learning;
Cluster Analysis & Finite Mixture Models;
Time Series Analysis;
Multivariate Statistics; and
Analysis of Spatial Data.
- Optimization and Segmentation
- Knowledge of PMML and ability to extend analytical algorithms
- Utilize PMML to export and import models from Python, R and
- Knowledge of Query language to support analytical models is a plus.
- Nice to have knowledge of other products on the Big Data Eco System
- Good Understanding of User Visualization needs of the Analytics
- Should have good written and spoken communication skills and should have
played a client facing roleExperience:
2-10 years of experience in data science.Qualification:
B.E, B.Tech, M.sc, M.Tech in computer science