Data Scientists with the capability to perform independent statistical and machine learning research / projects. Individuals should be able to break down business problems into smaller components and implement ML approaches to empower the end business decisionsStrong hands on skill in Python using libraries like NLTK / Spacy, skLearn, keras / tensorflow, fastai / pytorch, pandas, numpy matplotlib, seaborn, pyspark etcExpert level proficiency and thorough understanding of at least one of the upcoming technologies like deep learning, NLP, Computer Vision, recommender systemsExpert level proficiency in statistical / ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST etcExpert in univariate, multivariate analysis, feature engineering, selection, data transformation and visualizationKnowledge of various DL network architecture for building AI applications using image, text, speech dataSkills Required
Data Analysis, Machine Learning, Python, Sql, Data Visualization, Statistics, Data Cleaning