Bachelors degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, or a related field, and 5 years of progressive, postbaccalaureate related work experience; or a Masters degree in Mathematics, Information Systems, Statistics, Operations Research, Analytics, Computer Science, or a related field and 4 years of related work experience.br Must have 4 years of advisory professional services or consulting experience.br br Must have 4 years handson experience with data science and data engineering.br br Must have 4 years of experience connecting data sources and structures including APIs, NoSQL, RDBMS, Hadoop, S3, andor Blob Storage.br br Must have 3 years of experience with statistical modeling, ETL and data ingestioncleansing.br br Must have 3 years of experience using advanced analytics to solve business problems.br br Must have 4 years of experience setting up data and experimental platforms.br br Must have 4 years of experience with R, Python, Java, C#, Scala, SQL, Hive, andor Pigbr br Must have 3 years of experience with Machine learning using kNN, naive bayes, decision trees, andor SVM.br br Must have 4 years of Experience using data mining and statistical tools.br br Must have 4 years of Handson experience with various big data technologies in one or more of the following ecosystems Hadoop, AWS andor Microsoft.br br Must have 2 years of experience in cloud big data engineering with one of the following AWS, Azure, andor GCP.br br Must have 2 years of experience with solid pattern recognition and predictive modelling.br br Must have 2 years of experience with recommendation engines, scoring systems, andor AB testing.br br Must have 4 years of experience working with multiple toolslibraries including Panda, NumPy, PyMongo andor R.br br Must have 2 years of experience managing teams of Data and Analytics professionals.br br Travel is required approximately 80 of the timebr br Employer will accept any suitable combination of education, training, or experience.
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