Statistics & Python Expert

Job Description Roles & Responsibilities What this opportunity involves While each project involves unique tasks, contributors may: Design original computational statistics problems that simulate real mathematical research workflows; Create problems requiring Python programming to solve (using Numpy, SciPy, Sympy); Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis; Base problems on real research challenges or practical applications from mathematical practice; Verify solutions using Python with standard mathematical libraries; Document problem statements clearly and provide verified correct answers. What we look for This opportunity is a good fit for statistics specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: Degree in Statistics or related fields; Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; 2+ years of professional experience: applied, research, or teaching experience is applicable; Strong written English (C1+); Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. Company Industry InternetE-commerceDotcom Department / Functional Area TrainingLearning Keywords Statistics & Python Expert - Freelance AI Trainer Get real-time job updates only on our App