About the role
Responsibilities:
- Understand Business and product needs and use ML or statistical techniques to provide solutions to those in a time-bound fashion.
- Communicate and collaborate with business and product teams to have a better understanding of the project so as to be able to drive it within the DS team.
- Get involved in in-depth exploration of solutions using various methods and extract statistical insights from data as well as models, which are to be shared with business and product teams.
- Active participation in working with new methods and learning new technologies, both in the area of data science and data engineering, is crucial.
Requirements:
- B. Tech or M. Tech in CS or Statistics with experience ranging from 5 to 13 years through publications/deployed solutions/projects.
- Deep understanding of the algorithms (theory and application) that they have worked on.
- Good grasp on the theory and practice of basic statistical models such as regression or clustering and general ML algorithms such as trees, Random Forests, SVM, Boosting, Neural Networks etc. It is not expected that the candidate has actually worked on all these modules.
- Strong proficiency in Python or R is necessary.