Sr. Data Scientist

REQUIREMENTS:             

Masters’ degree in Data Science, Computer Sciences, Mathematics or Statistics and (2) years’ experience in Data Analytics and two (2) years of post-bachelor’s progressive experience in all of the following: Machine learning, Predictive Modeling, Prescriptive Modelling Data Mining, Data Cleansing, Text Analytics & Social Media Analytics;   Designing and deploying data processing pipelines using Apache Spark, Cloudera Data science workbench (CDSW); Programming languages to include Python, R, SQL and NoSQL; Building Dashboards using Power BI, Spotfire and Tableau from multiple data sources like Apache Hadoop, Oracle Exadata and SQL server; Mining data and building Analytics models using tools to include MATLAB, Alteryx and Cloudera Data science workbench; Developing statistical modeling techniques to include decision trees, logistic regression, Bayesian analysis, Neural Networks and TensorFlow; Neo4j network graph data and databases and building predictive and statistical models; Utilizing the Agile methodology.