Data Scientist - Oil & Gas/Utilities/Manufacturing

Job Description: Data Scientist

Data Scientist with 5+ years experience, including experience in implementing end to end large Analytics programs. Priority to resources with oil and gas/utilities/manufacturing industry background

Must haves:

- At least 4+ years of experience in data science (must have)

- Python model building (must have)

- SQL coding (must have)

- Basic statistics knowledge and interpretation of statistical output (must have)

- Machine Learning: Logistic Regression, random forest, clustering, SVM, other supervised and supervised learning models,

- Text Mining and experience with unstructured data handling (must have);

- Deep Learning (good to have)

Key Responsibilities :

- To execute and implement projects in predictive modeling/ forecasting using Statistical and Mathematical techniques for deriving business insights with measurable success in the ERU value chain

- To define hypothesis and to identify the analysis trail for the given business problem

- Proficient in any two of the following predictive/ forecasting techniques:

- ARIMA(X),

- ARCH/ GARCH,

- TBATS,

- UCM,

- Multivariate Adaptive Regression,

- Feed Forward Neural Network,

- Recurrent Neural Network,

- Self-Exciting Auto Regression,

- Log Linear Models,

- Logistic Regression and etc.

- Develop, validate and deploy model in cloud framework

- To collaborate with technology team and support the development of analytical models with the effective use of data and analytic techniques