RIL - Business Analyst/Data Scientist - Statistics - IIT/ISI

A data scientist with experience in big data and advanced analytics/ predictive modelling. Candidate should have worked hands on in developing predictive models in some of these areas - cross-sell / up-sell strategies, market segmentation, demand forecasting, price optimization, time to event, survival analysis etc. Having extensive consulting experience in the predictive analytics/Data science domain.

Job Accountabilities:

- Work with businesses & functions to provide extensive consulting using advanced analytics/predictive analytics and machine learning methodologies.

- Conceptualize advanced machine learning and cognitive analytics based algorithms by integrating multiple data systems to provide real time business solutions.

- Build predictive modelling solutions in the analytics space across different verticals and functions. Help business optimize the investments in finance and operations.

- Identify relevant patterns from large set of data using statistical techniques that answers key questions for the enterprise

- Build statistical models to forecast demand in operations planning and resource optimization.

- Conduct routine diagnostic studies using correlation, testing of hypothesis, survey analysis, categorical data analysis, ANOVA, Time series, Optimization Techniques and Operations Research methodologies

- Transform data into business intelligence by generating relevant information and recommendations for improving organization performance

Domain:

- HR, Finance, Supply Chain, Operations, Asset Management etc.

Industry:

- Manufacturing, Telecom, Retail etc.

Skills Required (Knowledge and Skills):

- R, Python, SAS, SPSS, SpotFire, big data, Natural language Processing, Machine Learning, Cognitive Analytics

Key Attributes (Experience and Qualifications):

- Postgraduate in Statistics/Operations Research/Mathematics/Economics from a premier institute. - e.g. ISI, IIT etc.

- 2-7 years of experience

- Strong analytical and technical skills in R, Python, VBA, MS Excel

- Knowledge of SAS or SPSS will be an advantage.

- Strong business and functional acumen, communication skills and drive for results.

- Must be able communicate effectively with both technical and non-technical individuals.