Data Scientist - KPO

PFB some specific new requirements for Data Science resource as also mentioned in the JD-

- Technical Skillsets:

- Superior analytical and problem solving skills

- High Proficiency in Python Coding along with good knowledge of SQL

- Knowledge of using Python Libraries such as scikit-learn, scipy, pandas, numpy , nltk, matplotlib

- Deep rooted knowledge and understanding Traditional Machine Learning Algorithms & Advanced modelling techniques (e.g. Random Forest, SVM, time series etc.) and Text Analytics technique (NLTK, Genism, LDA etc.)

- Must have hands on experience of building and deploying Predictive Models

- Must have experience of building Predictive Models using AWS Sagemaker and other AWS services

- Have worked on at least one of the GIT repository management solution (Github, Bitbucket etc.)

- Should be able to work on a problem independently and prepare client ready deliverable with minimal or no supervision

- Good communication skill for client interaction

- Data Management Skillsets:

- Ability to understand data models and identify ETL optimization opportunities. Exposure to ETL tools is preferred

- Should have strong grasp of advanced SQL functionalities (joins, nested query, and procedures).

- Strong ability to translate functional specifications / requirements to technical requirements