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
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