Data ScientistThis is a Data Scientist role with exposure to Predictive Modelling Machine Learning techniques. Candidate must have in-depth knowledge of modelling techniques like Linear Regression and Logistic Regression, Binary Tree and Random Forest. Minimum years of experience: 5+Must have skills:1.5 Years of experience as Data Scientist with exposure to predictive modelling Machine learning techniques who can work independently.Must have in-depth knowledge of couple of modelling techniques like Linear Regression and Logistic Regression, Binary Tree and Random Forest.
Should be experienced in using 1 or 2 tools from R, Python, SAS.Should be comfortable interpreting modelling output based on model specific parameters (RSquare, ChiSquare, ROC, Confusion Matrix, True Positive, False PosNice to have skills:Should be comfortable with generic parameters like accuracy, precision and recall.Should have good communication and requirement gathering skills. Should be able to extract information from Business and guide them on right approach for modelling based on individual use case.Top 3 responsibilities you would expect the Subcon to shoulder and execute:Facilitate ceremonial meetingsManage Product backlog and requirement gatheringRemove any impediments and ensure teams productivity