Data Scientist

Job Description

• - Complete accountability for delivering 1-2 projects from conception to implementation - Understand client requirements - Managing project timing client expectations and meeting deadlines - Strong problem solving and conceptual thinking abilities - Good knowledge of Data Structure & Algorithms - Basic knowledge of text analysis - Lexicon based Sentiment score calculation - Text data cleaning methods - Basic knowledge in Web Scraping c) Technical Skill : - R basic - Python basic - Intermediate in R or Python - SQL basic - Hive / Impala will be a plus - Basic knowledge in Unix - Excel - Statistical Skill - Strong in Basic Statistical concept - Linear / Logistic Regression - Clustering techniques - Random Forest / SVM / Na- ve-Bayesian / Neural Network- - Basic concept in Finance domain will be a plus - Good communication skills - Experience working in client location will be a plus - Possesses strong analytical/logical thinking skills - Should have played project and team management roles - Proficient in R/SAS/SQL and MS Excel and PowerPoint - Proficient in Linear Regression Logistic Regression Clustering Time Series Forecasting and other statistical techniques - Strong and Deep Domain knowledge

Job Summary