Industrial Simulation & Analytics Specialist

What You'll Do

• Interact with stakeholders to write specs and scopes for complex and large discrete event simulation models; assume responsibility for the end-to-end development of simulation models using Simio.
• Develop and run experiments to test “What-if?” scenarios for clients.
• Develop both green and brown field models to drive the layout and flows of facilities.
• Develop and maintain models for consistent usage.
• Work in a highly visible group that is pushing change throughout the company.
• Present findings to stakeholders and management, using tools such as Tableau and/or Powerpoint.
• Be on the front line of driving innovation and process change at the Y12 National Security Complex.
• Develop a deep understanding of the full manufacturing process to drive operational excellence.
• Interact closely with all levels of the production facilities.
• Cleanse data coming into and out of the simulation model.
• Work closely with other data scientists and data visualization experts to craft a compelling story for upper management.
• Be an integral member of the Manufacturing Modeling and Analytics team.

• Bachelor's degree in engineering/science/information technology discipline:
  Minimum 7 years of relevant experience.
• Master's degree in engineering/science/information technology discipline:
  Minimum 5 years of relevant experience.
• PhD:
  Minimum 2 years of relevant experience.
• Working knowledge of ERP systems (SAP/S4 preferred).
• Strong communication, teamwork, and stakeholder engagement skills.
• Master's degree in Industrial Engineering, Systems Engineering, Operation Research, Data Science, or related field.
• Experience with discrete event simulation software (Anylogic, Flexsim, Simio, Extend Sim, etc.).
• Experience with data visualization software (Power
  
  BI, Tableau, Qlick, etc.).
• Experience leading data integration or Web API development efforts.
• Experience with digital transformation, digital twins, or advanced manufacturing analytics.
• Familiarity with manufacturing systems, constraints modeling, scheduling systems, or operations management.
• 5 years experience with Simio.
• 2 years experience coding with Python, R, or other similar language.
• 2 years experience with Tableau.
• Ability to derive and write scopes through interviews with cross-functional team members.
• Demonstrated experience leading cross-functional technical or engineering projects.
• Manufacturing experience is a plus.

• Meaningful work and unique opportunities to support missions vital to national and global security.
• Top‑notch, dedicated colleagues.
• Generous pay and benefits in a stable organization.
• Career advancement and professional development programs.
• Work‑life balance fostered through flexible work options and wellness initiatives.

• Requires a Q clearance; however all qualified candidates will be considered regardless of their current clearance status.
• The ability to obtain and maintain a Department of Energy Q clearance is required.
• This position may require entry into the Material Access Areas (MAA) and participation in the Human Reliability Program (10 C.F.R. Part 712), which requires successful completion of a DOE counterintelligence evaluation and may include a counterintelligence‑scope polygraph examination.
• This position may be categorized as a “designated position” identified by 10 C.F.R. Part 709, requiring successful completion of a DOE counterintelligence evaluation that may include a counterintelligence‑scope polygraph examination.
• CNS is a drug‑free workplace. Candidates accepting a job offer will be required to pass a pre‑placement physical, drug screening and background investigation.
• As an employee, you may be required to receive and maintain a security clearance from the United States Department of Energy in order to meet eligibility requirements for access to sensitive information or matter.
• U.S. citizenship is a requirement for security clearance applicants.
• All employees are subject to being randomly selected for drug testing without advance notification.

CNS is an equal opportunity employer. All qualified applicants will receive consideration for employment based on merit and without regard to race, color, religion, sex, sexual orientation, national origin, protected veteran status or disability.