Python Developer for Monte Carlo Simulator

Seeking a Python developer/statistician to build a Monte Carlo simulator for a proprietary poker-style card game. The rules and strategy decisions are already defined. The ideal candidate will have experience in statistical analysis and Python development, with a focus on creating efficient and accurate simulations. This is a part-time project with a short-term engagement. This project is for analysis of a proprietary poker-style table game. A signed NDA may be required before full game rules are shared. Deliverables include a Python application capable of running millions of simulated hands, allowing payout tables to be easily modified, and generating statistics such as expected return, hand frequencies, and house edge.All source code and work product will become my property upon project completion. If this project is successful, there is potential for additional work involving related games built on the same simulation framework.