Experience of 6 or more years in Statistical Modelling, Machine Learning, Data Science, Advance Analytics & Visualization.
It is an individual contributor role.
Understand business problems and translate business requirements into technical requirements.
Enhancing data collection procedures to include information that is relevant for building analytic systems. Processing, cleansing, and verifying the integrity of data used for analysis Responsible for design, development, validation, testing and deployment of Machine Learning Models like Time Series, Forecasting, Regression, Optimization, Anomaly Detection, Failure Prediction.
Having the ability to query databases & perform statistical analysis.
Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
Scoping Project Requirements.
Reviewing the Models already built & enhancing it.
DUTIES AND RESPONSIBILITIES:
Strong hands on Experience in machine learning techniques and algorithms like Time Series Forecasting (ARIMA, HoltWinters, GARCH, MARS & RNN), Prediction (GAM & ANN), Anomaly Detection (LOESS, Hotelling & Mahalanobis), Optimization (Genetic Algorithm, Ensemble Method), Failure prediction (Weibull Distribution) & Association Rules.
Proficiency in Redshift SQL & NoSQL Data Base. Skills in manipulating large data sets.
Very strong hands on programming skills in R, Python & Tableau.
Experience on Cloud environment (AWS).
Ability to handle all modules for a Project (Machine Learning & Tableau).
To be a Fast learner.
To do quick POCs as per the requirement.
Ability to handle all modules for a Project independently (Machine Learning & Tableau).
Maintain Code Versions & Document Repositories.
Work on Multi Tasks Simultaneously.
Experience in Data Center, Energy Sector or Manufacturing Domain.
Strong analytical skills with the ability to collect, organize, review significant amounts of information
Excellent written and verbal communication skills and ability to work in a team.
Outstanding analytical and problem-solving skills.