Decision & Data Science Researcher #4090
Decision & Data Science Researcher, Warren, MI, General Motors. Analyze large-scale passenger vehicle sale datasets to assess marketing effectiveness of online customer touchpoints. Formulate problem of finding next best (optimal) marketing action to increase sales probability as sequential decision-making problem under uncertainty using stochastic programming. Research & develop solution techniques using advanced AI & reinforcement learning (RL) approaches such as Q-learning (Q-L) & deep Q-L & optimization techniques for stochastic problems such as progressive hedging algorithm, iterative diagonalization technique, gradient ascent/decent, & genetic algorithm. Contribute to development of highly detailed discrete-event simulation models designed to replicate daily operation of fleet of electric vertical take-off & landing (eVTOL) aircraft or air taxis under uncertainty using Simio simulation software. Work with the team responsible for the demand estimation to generate the desired trip tables & feed them into the simulation models along with a list of input parameters. Work with eVTOL engineering team to collect specific details of aircraft such as speed, battery capacity, & charge rate to use in simulation models. Master, Data Analytics Engineering, Civil Engineering, Applied Math, Machine Learning, or related. 12 months experience as Graduate Research Assistant, Research Associate, Researcher, or related, developing solution techniques for proposed optimization problems using advanced AI & RL approaches such as Q-L & deep Q-L & optimization techniques for stochastic problems such as progressive hedging algorithm, iterative diagonalization technique, or genetic algorithm, or related.