Description

Key Skills: Statistics, Python, NumPy, SciPy, Pandas, Mathematical Research, Problem Design, Data Analysis, Machine Learning, Statistical Modeling

Good to Have Skills: MATLAB, R, C, SQL, Stata, Sympy, domain-specific libraries, professional certifications like CMME, SAS Certifications, CAP, and experience in international or applied projects. Knowledge of number theory, combinatorics, graph theory, and numerical analysis would be advantageous.

Roles & Responsibilities:

• Design original computational statistics problems that simulate real mathematical research workflows for AI training purposes.
• Create complex problems requiring Python programming solutions using libraries like Numpy, SciPy, and Sympy.
• Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes of days or weeks.
• Develop problems requiring non-trivial reasoning chains in areas like number theory, combinatorics, graph theory, and numerical analysis.
• Base problem creation on real research challenges or practical applications from mathematical practice and industry scenarios.
• Verify solutions using Python programming with standard mathematical libraries to ensure accuracy and correctness.
• Document problem statements clearly and provide verified correct answers with comprehensive explanations for AI training datasets.

Experience Required: 2+ years of professional experience in applied statistics, research, or teaching. Strong written English proficiency (C1+ level) is required.

Education: Degree in Statistics or related fields required

Key Skills

Education

Any Graduate