Ability to convert a business problem into a data science/machine learning problem. Regularization techniques LASSO, RIDGE & ELASTIC NET and when to apply these.
Very good hands on in python (Pandas/Numpy/Scikit-Learn/NLTK/spaCy/Matplotlib). Should have good exposure and understanding in time series Modelling using ARIMA, ARIMAX.
Good working knowledge in Logistic Regression, Decision Tree, Random Forest, GBT, XGBOOST, Support Vector Machine, Linear Regression.
Very good hands on in python (Pandas/Numpy/Scikit-Learn/NLTK/spaCy/Matplotlib). and Good coding practices to write production ready code for creating data pipeline for Models to consume.