Data Scientist

Data ScientistResponsibilities • Collecting data through means such as analyzing business results or by setting up and managing new studies • Transferring data into a new format to make it more appropriate for analysis • Searching through large data sets for usable information • Creating new, experimental frameworks to collect data • Building tools to automate data collection • Correlating similar data to find actionable results • Creating reports and presentations for business uses Skills Required − Statistics – Frequentist & Bayesian − C++, Python, R, PySpark, Juoyter Lab, Pycharm − Exploratory Data Analysis, Visual Analytics − Oracle, MySQL − Windows, Linux − A/B Testing − Hadoop, Spark, MLlib, Git − Design of Experiments (DoE) − Natural Language Processing (NLP) models − Pandas, Numpy, Matplotlib, Scikit Learn, Scipy and NltkTK in Python for developing various machine learning algorithms. − Leadership and Communication Skills − ML Algorithms: LR, SVM, Ensemble Trees, Matrix Factorization, Neural Networks, Clustering Analysis, Dimensionality Reduction Algorithms, Optimization problems a plus Experiences • Experience in linear algebra, especially sparse systems • Experience in data munging, data cleansing, feature selection, feature engineering. • Developed Recommender Systems • Developed forecasting model to predict revenue using Python libraries. • Candidate should be very client oriented, proactive, innovative, problem solver