NOTICE OF FILING OF APPLICATION FOR PERMANENT EMPLOYMENT CERTIFICATION

An application for permanent labor certification for the position described below will be filed by Norfolk Southern Corporation with the U.S. Department of Labor.

Norfolk Southern Corporation is seeking a Senior Operations Research Specialist based in Atlanta, Georgia. This position will be responsible for providing management with recommendations for the use of analytical models and decision support systems to drive productivity and efficiency, achieve operational excellence, increase revenues, and reduce costs. This individual will be required to telecommute to the office in alignment with Norfolk Southern's office/remote - hybrid work policy.

Job Duties:
* Provide production support and enhancements for existing operations research applications.
* Design new mathematical or machine learning models and implement them in programming languages such as C/C , Java, and Python.
* Evaluate the accuracy and quality of data sources and develop appropriate remedies for data gaps.
* Collaborate with business partners in various departments to identify opportunities for process improvement.
* Work with application development teams to integrate developed models into a production environment.
* Provide leadership to various groups to achieve goals by creating an environment that promotes positive communication, encourages bonding of team members, and demonstrates flexibility.

• Master's degree in Industrial Engineering, Civil Engineering, Operations Research, or a related, relevant field.
• Minimum of three (3) years of experience with operations research modeling, simulation, and advanced analytics in the transportation or railroad industry.
  • This experience must include at least three (3) years of experience:
  • Developing decision support systems using operations research models;
  • Managing projects and providing hands-on leadership in the design and development of operations research models and decision support systems;
  • Utilizing operations research techniques and engineering skills in delivering decision support systems;
  • Analyzing existing operations research applications and providing production support and enhancements;
  • Designing new mathematical and machine learning models and implementing them in programming languages such as C/C , Java, and/or Python;
  • Evaluating the accuracy and quality of data sources and developing appropriate remedies for data gaps;
  • Collaborating with business partners in various departments to identify opportunities for process improvements utilizing decision tools to develop project proposals and manage projects;
  • Working with application development teams to integrate developed models into a production environment; and
  • Collaborating with various departments to identify opportunities for process improvement by using decision tools to develop project proposals and manage projects to their completion.

Demonstrated ability to:

• Identify complex problems and review related information to develop and evaluate options and implement solutions.

Demonstrated knowledge of:

• Software development methodology;
• CPLEX, Gurobi or other optimization solvers;
• Programming languages for software development such as C/C , Java, or Python; and
• Database programming languages such as SQL.

650 West Peachtree Street NW, Atlanta, GA 30308
Apply via email: HR.CareersInbox@nscorp.com or call (470) 433-9062.
Salary: $125,000 to $167,500 per year

This notice is provided as a result of the intended filing of an Application for Permanent Employment Certification for the above job opportunity. Any person may provide documentary evidence bearing on this application to:

Certifying Officer
U.S. Department of Labor
Employment and Training Administration
Office of Foreign Labor Certification
200 Constitution Avenue NW, Room N-5311
Washington, DC 20210

This notice was posted in a conspicuous place in the office of Norfolk Southern Corporation in Atlanta, Georgia and on the company's intranet for a period of 10 consecutive business days. The notice remained clearly visible and unobstructed during the entire period of posting.