Masters' in Computer Science / M. tech / PhD / Statistics / Econometrics / Applied Mathematics / Applied Statistics / Operations Research is a must.
Passion for learning new technologies and be up to date with the scientific research community.
Work in technical teams in development, deployment, and application of machine learning solutions, leveraging technical components and explaining the modelling decisions
Take responsibility for insights, reports and explanability of the decisions taken by predictive models
Responsible for taking an idea from concept to production thoroughly with feedback from all stakeholders.
Must have minimum of 5-7 years of industry experience in developing data science models.
Deep understanding and experience in the field of Machine Learning, Deep Learning and statistical learning
The person should be excellent at Classification (logistic regression, svm, decision tree, random forest, neural network), Regression (linear regression, decision tree, random forest, neural network), Classical optimisation (gradient descent, newton rapshon, etc), Graph theory (network analytics), Heuristic optimisation (genetic algorithm, swarm theory)
Should be strong at Deep leaning (CNN, LSTM, RNN, Bi-LSTM)