Data Scientist - KPO

Ideal candidate would have :

- Prior experience in handling team is desirable.

- High energy and self-motivated professional with the ability to make things happen, work under pressure and adhere to strict deadlines.

- Good understanding of domains like Retail / CPG /Healthcare / Telecom / Hospitality / Manufacturing / Pharmaceuticals / BFSI

- Sound understanding of some of the below statistical techniques like Time Series Analysis (ARIMA), CHAID, CART, Logistic/Linear/Lasso/Ridge Regressions, Segmentation, Decision trees, Recommendation Engines, Survival Modelling,

- Support Vector Machines, Dimensionality Reduction, Neural Networks, RBM, Deep Learning, Data Visualization, Text Analytics (LSI, LDA), Topic Modelling

- Ability to interpret results of above mentioned Statistical techniques

- Knowledge of some of the analytics tools like SAS, SPSS, R Python/ C++/Java

- Very good knowledge of Big Data Technologies like MapReduce/Hadoop /SAP HANA/Storm/Kafka / SPARK

- Ability to translate Business Problem to a Statistical Problem and Statistical solutions to a viable Business solution

- Good verbal and written English communication

- Good interpersonal skills

- Should be open to work from client location (within or outside the country) which may be different from base branch

- Exposure to project management skills

- Prior experience in Research and Development as well as publishing white papers is an added advantage

Qualification :

- B. Tech/Masters /M.Phil/ PhD from Engineering or Computer Science

- MA / MSc / M.Phil / Ph D in Statistics, Mathematics or Economics (with specialization in Econometrics / Statistics) disciplines with demonstrated work experience as mentioned above can also be considered.