Data Scientist

Description

Required Skills Conceptualize, build, implement and improve solutions using a variety of Statistical models, Machine Learning. Deep Learning and Optimization techniques, on large data sets Present advanced concepts and techniques to senior executives and develop trusted and highly respected relationships with customers and colleagues. Collaborate with Data Scientist and Software Developer colleagues to research, debate, experiment and devise highly effective solutions based on Original Thinking. Drive client engagements focused on Big Data and Advanced Business Analytics, in diverse domains such as product development, marketing research, public policy, optimization, and risk management. Expertise in text analytics. Experience Word2Vec, GloVe, LDA etc. Programming skills in Python or R Knowledge of Big data technologies like Hadoop, Spark etc., Proficiency in statistical analysis languages and software packages (such as SAS, SPSS, R, etc. Expertise in supervised and unsupervised learning. Experience in libraries such as Scikit learn etc. and use of machine learning in at least 2 projects Experience in Deep learning and Neural networks such as CNTK, MXNet, and TensorFlow. Should have done at least 2 projects using one of the mentioned technologies Be able to navigate data sources from converting raw data into meaningful and actionable insights to gathering qualitative information from stakeholders. Very good with Excel, Powerpivot, data models et al. Experience in data access from databases, ability to write complex SQL queries Experience in BI tool such as Tableau, PowerBI, Tibco Jaspersoft etc., Educational Qualifications Advanced degree with Math, Statistics or Computer science Strong mathematical background with ability to understand algorithms and methods from a mathematical viewpoint and an intuitive viewpoint