Analytics Data Scientist

Job Title
Analytics Data Scientist
 Responsibilities 
Preferred Proficiency with statistical analysis tools (e.g., SAS, SPSS, R & Python) Hands on experience in Statistical Techniques & Deep Learning such as Decision Tree, Segmentation, Logistic and Multiple Regression, and others Experience of Forecasting, Campaign Management andâ"¯Customer Segmentation is desirable Strong Excel, Access and PowerPoint skills Familiarity with database query tools (SQL) Basic understanding of data warehouse architecture Understanding of various Analytical Tools, Platform & Frameworks.
 Technical and Professional Requirements: 
Analytical ability- Looks at data from multiple sources and integrates data/inputs in a manner to build cause effect linkages to arrive at key issues. Uses understanding of the problem to arrive at multiple solution alternatives keeping in mind the various stakeholders and assess the pros and cons of all the alternatives to arrive at the optimal solution Business acumen- Understands the linkages of metrics and end objectives to key business drivers and aligns team efforts to deliver on it. Demonstrates basic understanding of business financial parameters and is aware of business value impact of activities and decisions taken by him/her and team. High Impact Communication- Assesses the target audience need, prepares and practices a logical flow, answers audience questions appropriately and sticks to timeline.
 Preferred Skills: 
Technology->Data Science->Machine Learning
 Educational Requirements 
Bachelor of Engineering
 Service Line 
Data & Analytics Unit


* Location of posting is subject to business requirements