Senior Specialist Modelling & Analysis

at  Fortescue Metals Group

Perth, Western Australia, Australia -

Start DateExpiry DateSalaryPosted OnExperienceSkillsTelecommuteSponsor Visa
Immediate08 Jul, 2024Not Specified09 Apr, 20244 year(s) or aboveMachine Learning,Discrete Event Simulation,Rail Operations,Anylogic,Mathematics,Linear Programming,Statistics,UncertaintyNoNo
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Description:

ABOUT US

Fortescue is both a proud West Australian company and a global green solutions business. We are recognised for our culture, innovation and industry-leading development of infrastructure, mining assets and green energy initiatives.

QUALIFICATIONS AND EXPERIENCE

  • Degree in mathematics, statistics, engineering or science
  • Experience (4+ years) in simulation modelling & analysis in the mining or heavy industry sector
  • Experience in simulation modelling of mining operations, processing plant operations, rail operations and port operations (beneficial)
  • Exceptional analytical and problem-solving skills
  • The ability to communicate complex technical concepts and insights to a range of stakeholders
  • Proficiency in statistical methods for simulation modelling, including input and output analysis, and experimental methods for assessing uncertainty
  • Proficiency in a discrete-event simulation modelling language such as AnyLogic, Arena, JaamSim or SimPy
  • Proficiency in Python / R for model input and output analysis as well as experimentation management
  • Experience in other operations research techniques (linear programming, combinatorial optimisation) and machine learning is well regarded

Responsibilities:

  • Using a mix of first-principles approaches and dynamic simulation models to assess the impact of changes to our integrated operations, including both major capital and minor capital / productivity initiatives
  • Assessing the baseline capacity of our operations as part of our 2-year and 10-year planning processes
  • Managing the simulation experimentation process including defining and managing input sets for baseline, scenarios and sensitivity analyses
  • Analysing simulation results, including statistical analysis of performance across replications and detailed analysis of operations dynamics
  • Developing new models and changes to existing models, including verification and validation
  • Periodically validating the models for capacity forecasting, including comparing actual and simulated performance, and identifying changes to data & logic
  • Support the development and maintenance of supporting toolkits, including input analysis, experimentation management and results analysis
  • Communicating insights and modelling drivers for results to a range of operations stakeholders


REQUIREMENT SUMMARY

Min:4.0Max:9.0 year(s)

Information Technology/IT

IT Software - Other

Software Engineering

Graduate

Engineering, Mathematics, Statistics

Proficient

1

Perth WA, Australia