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 decisions
Strong hands-on skill in Python using libraries like NLTK/Spacy, Sklearn, Keras/TensorFlow, Fastai/PYTORCH, pandas, NUMPY matplotlib, seaborn, pyspark etc
Hands on skills on R
Expert level proficiency and thorough understanding of at least one of the upcoming technologies like deep learning, NLP, Computer Vision, recommender systems
Expert level proficiency in statistical/ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST etc
Expert in univariate, multivariate analysis, feature engineering, selection, data transformation and visualization
Knowledge of various DL network architecture for building AI applications using image, text, speech data
Experience of working on a project end-to-end: problem scoping, data gathering, EDA, visualizations, modeling and insights
Collaborate with business and data owners to formulate problems whose solution would be impactful to the business
Good to have experience in any one of the cloud platforms such as AWS, GCP or Azure