Masters or foreign equivalent degree in Statistics, Math, Computer Science, Engineering or a related field, and 6 years of experience; or Bachelors or foreign equivalent degree in Statistics, Math, Computer Science, Engineering or a related field, and 7 years of which 5 years must be post bachelors and progressive experience.br Of the required experience, must have at least 5 years of experience in implementing and deploying statistical modeling machine learning techniques, including some experience with regression modeling, classification modeling, and unsupervised learning techniques.br Must have at least 5 years of experience in programming with a statisticalanalytic programming language Python, or Rbr Must have at least 5 years of experience in programming in SQL and working with relational database structures.br Must have at least 4 years of experience with a data visualization tool Tableau, PowerBI, or Excel.br Must have at least 4 years of experience maintaining codebases and version control of models and pipelines for deployment GitHub, or AWS CodeCommit.br Must have at least 4 years of experience with a machine learning package scikitlearn, MLLib, or caret.br Must have at least 4 years of experience in creating Data ETL jobs to extract data from cloud storage layers, distributed file systems, APIs, andor FTPSFTP servers.br Must have at least 4 years of experience working with high volume data in a distributed data processing environment Spark, Cloudera, DataBricks, etc..br Must have at least 3 year of experience working with unstructured data images, video, or text.br Less than 100 telecommuting permitted.br Employer will accept any suitable combination of education, training or experience.
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