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In this project, you will design and verify challenging computational statistics problems that mirror authentic research and applied analysis workflows. Each problem must require complex, multi-step reasoning and cannot be solved by hand in a short time. You will need to use Python to validate the solutions and write clear, reproducible documentation detailing both the problems and fully verified answers. Collaboration will be remote and typically part-time, based on project needs. Applicants should hold a Bachelor’s degree or higher in Statistics or a closely related field and have at least two years of directly relevant experience in statistical modeling, research, or teaching. Strong written English proficiency (C1+) and expert-level Python skills for scientific computation are required. Familiarity with advanced simulation, optimization techniques, and experience with similar projects are preferred.
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