Researcher #151-309
Researcher, Warren, MI or Remote (Anywhere USA), General Motors.
Identify market opportunities & quantify tradeoffs btw. market share, profit, & engineering complexity throughout global vehicle dev process. Utilize Discrete Choice Models & Markov Chain Monte Carlo methods to enable to convert market research data, historical dealer sales, & inventory data into quantitative predictions of market share & profit. Solve Combinatorial Optimization problems via developing Nonlinear Integer Programs to perform order guide optimization & find efficient frontiers of optimal order guides for future vehicles, using combo of Software & programming languages including C, Python, CPLEX & L. Develop robust solution frameworks for modeling problems, based on AI, dimensionality reduction, statistical hypothesis testing, &nonlinear Machine Learning (ML) models including Gradient Boosting (GB), Bagging, Recurrent Neural Networks (RNN), Autoencoders (AE), & Deep Learning (DL), manipulating problem-specific information to tailor the algorithms via customized regularization, model architecture & objective function. Implement the proposed methods in parallelized &modular Python programs. Utilize Monte Carlo sim techniques for stochastic problems.
Master, Industrial or Civil Engineering, ML, or related. 12 months experience as Engineer, Researcher, Graduate Research Assistant/Associate, Graduate Services Assistant, or related, developing solution framework for modeling problem, based on AI, dimensionality reduction, & nonlinear ML model including GB, RNN, &DL, to tailor algorithm, or related.
Remote: This option does not require employee to be on-site full-time to perform most effectively. The employee’s role enables them to work off-site on a permanent basis.