Data Scientist - KPO/Research

Primary Role :

- Substantial hands-on experience with data handling

- Capable of managing large volumes of data, extract, clean and comprehend

- Able to analyze data independently and draw out salient insights

- Able to define workflow for oneself and Associates on a daily or periodic basis, contingent on the requirements of the project

- Able to contribute meaningfully to brainstorming discussions around nuances of the project

- Comfortable with statistical procedures, such as basic distributions, regressions, logistic models

- Experience with advanced statistics and Machine Learning algorithms is a plus

- Developing comprehensible analytical solutions to solve business problems using domain knowledge or statistical procedures depending on the requirements of the project

- Comfortable in representing the proceedings and/or findings in a power-point

- Comfortable in mentoring junior resources, and creating an environment of learning in the team

- Helping the company with Business Development initiatives such as sales collaterals, PoCs, Case Studies Develop and define an area of expertise and take relevant trainings on the same for the organization

- Contribute to org level activities, such as taking interviews

- Competences : Relevant analytics experience in Retail, e-commerce, Telecom, or any other domain

Technical Capabilities :

- SQL

- MSFT PowerPoint

- Excel

- Statistical Packages - R and/or Python - Mandate; PySpark, Scala is a plus

- Statistical Modelling and/or Machine Learning, Deep Learning

- Big Data Environments such as Hadoop, Hive, etc.

- Any credentials from IITs and NITs are good to have on the resume