Details:

Job Description and Responsibilities:

- Create high value solutions using techniques like data mining, predictive modelling, etc. based on either structured or unstructured or both types of data to address client's business challenges

- Identify business challenges, translate it into analytical framework and propose a structured solution in line with the business objectives by using data driven analytics

- Write white papers / generate new ideas on hot topics and current analytical issues

- Suggest appropriate technique / methodology, data requirements, effort estimation, etc. for the business challenges

- Technically mentor the execution of PoCs, pilot and delivery projects

- Highly self-motivated and professional. Ability to consistently meet deadlines and deliver high-quality materials. Ability to work in a fast-paced environment.

- Should be driven to continuously innovate with newer statistical techniques and demonstrate the same.

- Good interpersonal skills, with the ability to develop strong working relationships and effectively influence all levels of business

Experience Required:

- In-depth understanding of econometric and statistical analytical techniques such as regression analysis, statistical inferences, random forest, neural network models, multivariate analysis, time series forecasting, clustering, classification etc. are required. 

- Must have extensively worked on various packages of R/Studio/Shiny, modules of SAS like SAS Base/Macro/Stat or Python/ Shell Scripts, etc.

- Master- s/Ph.D degree in quantitative fields such as Mathematics/ Econometrics/ Statistics/ Computer Science/Engineering or related fields from premier institutes

- 7+ years of experience as a statistical analyst or in a similar role utilizing predictive analytics or data mining techniques for solving business problems

- Previous experience in text mining or statistical modelling is must

- Knowledge in Tableau, QlikView, etc. BI tools is a plus

- Must have experience in designing, developing, and providing solutions for multiple domains or industry verticals

- Flexibility to work with different countries (time-zones), groups, and business environment

- Experience working with large datasets is an advantage

- Experience working with Artificial Neural Network Models is an advantage

Min. Qualification:

pg

Skills Required:

classification, forecasting, multivariate analysis, neural network, qlikview, random forest, regression, statistical modeling, tableau, time series