Roles and Responsibilities
Use of cutting edge machine learning techniques for solving supervised and unsupervised learning problems Design analytical solutions for complex business problems
Dig deep into data understand characteristics evaluate and validate hypotheses through empirical approaches Recommend and implement best practices around the application of statistical modelling Develop and implement predictive models solving business problems and recommend actionable insights Mentor and train new recruits
Qualification Experience 2 years of experience in the field of analytics predictive modelling or data science Strong with programming languages like Python and data processing using SQL or equivalent Strong with analytical and statistical packages like R Python Scikit Learn or SAS Additional familiarity with C C welcome Experience with the following machine learning algorithms desirable Gradient Boosting Decision Trees Logistic Regression Random Forests Deep Neural Networks Ensemble methods
Experience with NoSQL and distributed data processing technologies such as Hadoop is also desirable B Tech M Tech in Computer Science or other Engineering or Masters in Quantitative Disciplines from a premier institution