Hiring candidates with 9 to 13 yrs in data scientist role from Banking/Product firm
- Modelling Techniques : Decision tree (CART, CHAID), Cluster Analysis, Logistic Regression, Multiple Linear Regression, Forecasting (ARIMA, TCSI), Random Forest, Bagging, Boosting, NLP, Text Mining, Sentiment analysis, Chat Bot Analysis etc
- Programming Language: SAS Advance, SAS BI, SAS VA -VS, Tableau, R & R STUDIO, PL/SQL, Portrait Minor (CHAID-Segmentation tool from Pitney Bowes), Angoss (Knowledge Seeker for Decision Trees), Python and Shiny (R), Thoughtspot
- 9 + years of Analytics /DataScience in Retail Banking (Consumer Banking / Cards) having worked on risk analytics
- Must be managing teams
- Must have stakeholder management experience
- Candidates below 25 Lakhs CTC do not apply
- Lead Data Science team for Data Strategy & Insight, driving strategy using advance analytics
- Must have NLP exp/Deep Learning
- Must have Performed Text Mining on Customer complaints data to understand operational inefficiencies, using Python-NLP package.
- Created a new variable out of this and used it across modelling practices for more predictive power.
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