Requires a Masters degree in Computer Science, Management Information Systems, or related quantitative field and 2 years of experience in job offered or related position. Must have 2 years with the following Developing complex and efficient database queries; scalable and reliable ETL pipeline development for large amounts of data; programming in languages such as R, Python, Spark, Scala, and Java; Big Data Ecosystem such as MapReduce, Hadoop, Parallel and Distributed Computing; cloud computing in Microsoft Azure; basic statisticsdata science concepts such as estimation, prediction, probability distributions, random variables, hypothesis testing, time series analysis, classification and clustering methods, variable selection, regression, and decision trees; development and validation of statistical algorithms; and modern data science libraries and tools, including but not limited to Scipy, Scikitlearn, Pandas, Tensorflow, Keras, and similar.
Categories: eb3
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