SENIOR OPERATIONS RESEARCH (DOLJKSOR)

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POST DATE 9/12/2016
END DATE 11/12/2016

Sabre GLBL Inc. Southlake, TX

Company
Sabre GLBL Inc.
Job Classification
Full Time
Company Ref #
DOLJKSOR
AJE Ref #
576159078
Location
Southlake, TX
Job Type
Regular
Education
Doctoral Degree

JOB DESCRIPTION

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Sabre GLBL Inc. in Southlake, Texas is looking for Senior Operations Research to perform the following duties: Under general direction, conducts logical analysis of complex management problems, management information requirements and formulates mathematical models of problems for solution by computer. Prepares mathematical models of problem areas in one or several equations that relate constants and variables, restrictions alternatives, conflicting objectives and their numerical parameters. Gathers, relates and identifies data with variables in models by applying personal judgment and mathematical tests. Reviews operations and testing of models to ensure adequacy or determine needs for reformulation. Prepares written, non-technical reports for management, indicating solution or range of possible alternatives in rank of desirability and probability of success. Researches and validates new/improved methods of forecasting, optimization and overbooking. Validates and enhances current methodologies. Guides the inclusion of new/updated processes into the production environment. Assignments are broad in nature, usually requiring originality and ingenuity. Requirements: Ph.D. in Statistics, Operations Research, Industrial Engineering, Engineering or related field or equivalent as determined by a professional credentials evaluation plus 1 year of experience in job offered or statistical analysis. Experience in job offered or related position must include the following: Demonstrated ability to apply modeling and analytical skills to real-world problems; fluency in applying advance multivariate statistical analysis (logistic & linear regression, decision tree, cluster analysis, ANOVA and customer choice model) to categorize, classify, and detect data relationship in large datasets; Experience with applying complex business logics to extract and cleanse large datasets from different data sources (csv,xml, txt, xls, sql, etc); Solid programming skills with knowledge of R, SAS, SQL, Python or other data-extraction and analysis tools and programming languages such as Java; Experience with building R libraries.