ERNST YOUNG U.S. LLP – $112,112.00/Year

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 br Must have 4 years of advisory professional services andor 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 Pig.br 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 global professionals.br br Travel is required approximately 80 of the time.br br Employer will accept any suitable combination of education, training, or experience.