Data Scientist

Strong learning acumen Team Player High sense of ownership Ability to work in a fast-paced and deadline driven environment Passion for technology Highly skilled at Data Interpretation Problem solver Responsibilities: Hypothesis testing, insights generation, root cause analysis, factor analysis Statistical model (predictive prescriptive) development using various statistical methods Familiar with Machine learning techniques/algorithms Test/train the model, Improve Model accuracy, Execute Monitor model performance, prepare reports based on the results of the analysis Data Extraction from various platforms such as SQL/Big Data Platform/Google CP, Dataset Preparation (creation of base data, aggregation, transformation), performing EDA Qualifications: Experience with data analysis/Modelling Postgraduate with Engineering Background Hands on exposure of machine learning concepts and algorithms Must be fluent with any one of these Python, R or Java Strong in statistical machine learning concepts Knowledge of Python Libraries Scipy, Numpy, Pandas, IPython, Scikit-learn, Tensor-flow, Keras, Theano etc Strong Python skills for data wrangling / analysis / visualization / modeling Experience with distributed big data processing (PySpark, Jupyter, Linux, AWS) Deployed at least one industrial project using supervised / unsupervised machine learning