BNSF Job Opportunities
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- Darlene Hutchinson
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1 BNSF Job Opportunities The Operations Research Group at BNSF Railway one of the largest freight railroads in North America is growing, and we would like to invite you to be part of our team. As a member of the BNSF Operations Research and Advanced Data Analytics Group, you will be responsible for finding solutions to some of the many challenging problems facing the railroad. We are currently hiring for three positions: 1. Specialist Operations Research and Advanced Analytics 2. Senior Operations Research Specialist 3. Senior Operations Research and Advanced Analytics Specialist (Data Analytics) Below, find an overview of BNSF Railway and a brief job description for each of these positions. For more information, please visit - keywords Operations Research. Please feel free to contact me if you have any questions. Best regards, Juan C. Morales, Ph.D. Manager Operations Research BNSF Railway Company juan.morales@bnsf.com
2 BNSF Railway Overview BNSF Railway operates one of the nation s largest rail networks, with approximately 32,000 route miles in 28 states across the western two-thirds of the United States. BNSF is headquartered in Fort Worth, Texas. For more than 160 years we have proudly served our customers by safely and efficiently delivering commodities such as coal, grain, steel and consumer products. The dedication, talent and creativity of our 40,000 employees have helped distinguish BNSF as an innovative and progressive leader within the transportation industry. To learn more about our company, our culture and our opportunities, please visit us online at BNSF is proud to be an EEO/AA employer M/F/D/V.
3 Specialist Operations Research and Advanced Analytics Duties include: Interfacing with BNSF Technology Services personnel to understand existing data structures and IT processes. Extracting and cleaning large volumes of data to derive insights that can be used for process improvements. Interfacing with internal customers to understand the business and identify opportunities for improvement using data analytics. Working with end-users to validate and enhance the insights from analyses. Identifying and initiating new projects. Communicating status and findings to multiple teams. Developing data analytics models to solve business problems. Keeping current with research and techniques in the field of analytics. The duties and responsibilities above are representative categories to be used in deciding whether to apply for the position. These general categories do not necessarily constitute an exhaustive list of duties of the position. Qualifications: Masters in Computer Science/Industrial Engineering with strong computing background. Strong programming skills in an object-oriented programming language, such as Java, C++, C#, or VB.Net. Excellent written, verbal, and interpersonal skills. Ability to identify underlying problems and appropriate techniques for solving them. Ability to manipulate and extract information from very large, complex data sets using query languages such as SQL. Expertise in using commercial analytics software, such as SAS, SSAS, SPSS, or R. Expertise in using visualization software, such as Tableau, ArcGIS, or Visual Analytics. Practical experience applying quantitative and statistical techniques to solve real-world problems.
4 Senior Operations Research Specialist Duties include: Develop decision support tools to help solve business problems Interfacing with internal customers to understand the business and identify opportunities for improvement Identifying solution techniques and implementing them independently, with external vendors, through academic alliances, or with BNSF Technology Services teams Interfacing with BNSF Technology Services personnel to understand existing data structures and IT processes Working with end-users to validate and enhance decision support tools Identifying and initiating new projects part of technology initiatives Communicating status and findings to senior management and key stakeholders The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for the position. These general categories do not necessarily constitute an exhaustive list of duties of the position. Qualifications: A Masters or Ph.D. degree in Operations Research, Industrial Engineering, Applied Mathematics, Computer Science or a related field. Ph.D. is preferred. Masters degree with experience will be considered. Practical experience applying quantitative techniques to solve real-world problems Strong programming skills in an object-oriented programming language, such as Java, C++, C#, or VB.Net. Excellent written, verbal, and interpersonal skills Ability to identify underlying problems and appropriate techniques for solving them Ability to manipulate and extract information from very large, complex data sets Expertise in using commercial solver software, such as CPLEX, Gurobi, or Express Expertise in using commercial simulation software, such as ProModel or ARENA
5 Senior Operations Research and Advanced Analytics Specialist (Data Analytics) Duties include: Interfacing with internal customers to understand the business and identify opportunities for improvement using data analytics. Interfacing with BNSF Technology Services personnel to understand existing data structures and IT processes. Extracting and cleaning large volumes of data to derive insights that can be used for process improvements. Identifying solution techniques and implementing them independently, with external vendors, through academic alliances, or with BNSF Technology Services teams. Working with end-users to validate and enhance the insights from analysis. Identifying and initiating new projects. Communicating status and findings to senior management and multiple teams. Developing data analytics models to solve business problems. Keeping current with research and techniques in the field of analytics. The duties and responsibilities in this posting are representative categories to be used in deciding whether to apply for the position. These general categories do not necessarily constitute an exhaustive list of duties of the position. Qualifications: A Ph.D. degree in Statistics or a Masters in Computer Science/Statistics/Applied Math or a related field with at least 2-3 years of data analytics experience. Ph.D. is preferred. Strong programming skills in SAS and an object-oriented programming language, such Java, C++, C#, or VB.Net. Excellent written, verbal, and interpersonal skills. Ability to identify underlying problems and appropriate techniques for solving them. Ability to manipulate and extract information from very large, complex data sets. Expertise in using commercial analytics software, such as SAS, SSAS, SPSS, or R.
6 Practical experience applying quantitative and statistical techniques to solve real-world problems.
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