Reliability Engineer

Job Location US-GA-Dudley
# of Openings
Direct Hire


The Reliability Engineer plays a crucial role in maintaining equipment reliability through design and execution of effective programs to develop management strategies to manage risk and mitigate the consequences of failures. Thorough knowledge and effective application of condition monitoring is also required to identify early detection of pending failures. The reliability engineer also provides the necessary technical expertise to improve equipment reliability by evaluating and redesigning equipment and systems.


  • Consult managers, area coordinators, engineers, and other stakeholders to define the scope and objective of data projects
  • Translate concepts and ideas into clearly defined quantitative models and process optimization objectives that capture both business and user requirements
  • Work with IT, engineers, and applications developers to explore, clean, and manipulate data to prepare data sets for machine learning / statistical modeling
  • Assist in the design, implementation, and evaluation of data models, including the use of multivariate techniques
  • Communicate results of data-driven modeling projects both in terms of development status and ongoing operational findings and actions
  • Provide input on user interfaces for models that are easily accessible to users from varying backgrounds (plant operators, engineers, IT professionals, etc.)
  • Establish processes that allow others to successfully adopt and maintain model applications with minimal oversight, and act as a liaison between data applications development and operational departments as well as the executive
  • Diagnose existing models in MPC controllers in the plant and provide decision support for MPC implementation and instrumentation
  • Act as an in-house strategic translator by providing independent verification and thoughtful critique of third party data analysis and data products




  • Must be self-driven and motivated to learn new data science skills with minimal supervision
  • Proficient in written and verbal communication skills
  • Willingness to adapt in order to thrive in a collaborative environment
  • Demonstrated quantitative analysis skills and proficiency in working with applications developers, IT, and other technical domains
  • Experience in communicating and presenting data and technical concepts to audiences with varying backgrounds
  • Degree in math/statistics or engineering
  • Offers of employment are contingent upon successful completion of a pre-employment background check and drug screen


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