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 and 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:
Data science
machine learning
Good to have : PySpark/Databricks
Preferred Skills:
Technology->Data Science->Machine Learning
Educational Requirements
Bachelor of Engineering