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Position: Senior Data Scientist - Statistics
Institution: United Airlines
Location: United States
Duties: Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using statistics, machine learning, forecasting techniques, and structured programming languages; Identifies, researches, or solves large complex problems using big data and statistics, forecasting and machine learning principles; Leverages understanding of the business process to identify and implement statistics, forecasting and machine learning solutions that will result in significant bottom-line contributions; Builds and develops statistics, forecasting and machine learning model applications, and provides client support leveraging operations research knowledge
Requirements: Advanced degree (PhD or ABD); Statistics or other related quantitative discipline involving quantitative analysis and application of advanced statistical methods; Coursework or work experience with statistics and/or forecasting techniques; Coursework or work experience in model prototyping through use of statistical package(s) including SAS or SPSS, Minitab and/or BI tools; Coursework or work experience with C, C++, Java, R, Python, or other structured programming language
   
Text: Senior Data Scientist - Statistics Develops the approach and methods to define and solve management problems through quantitative analysis and analytical models using statistics, machine learning, forecasting techniques, and structured programming languages; Identifies, researches, or solves large complex problems using big data and statistics, forecasting and machine learning principles; Leverages understanding of the business process to identify and implement statistics, forecasting and machine learning solutions that will result in significant bottom-line contributions; Builds and develops statistics, forecasting and machine learning model applications, and provides client support leveraging operations research knowledge Advanced degree (PhD or ABD); Statistics or other related quantitative discipline involving quantitative analysis and application of advanced statistical methods; Coursework or work experience with statistics and/or forecasting techniques; Coursework or work experience in model prototyping through use of statistical package(s) including SAS or SPSS, Minitab and/or BI tools; Coursework or work experience with C, C++, Java, R, Python, or other structured programming language
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