I'm looking for an experienced data scientist who has had some experience working on process optimisation (engineering related) problems. My data set is from a power plant desulphurisation process which has approx. 100,000 observations and 30 variables (including power). Using this data set, I would like to model the behaviour of power consumption with respect to the other variables. Then based on the derived model, find the optimal solution at which power is minimised subject to a few inequality constraints. This is an interesting problem and I'm confident that whoever takes on this challenge will find it rewarding! Practical experience in Neural Network Modelling, Nonlinear Programming and R will be considered favourably. If selected for an interview, further details about the project/expectation will be provided. I look forward to receiving your application.