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About the Role

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

Responsibilities

• 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
• 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

Requirements

• Degree in Statistics or related fields
• Python proficiency for numerical validation
• 2+ years of professional experience (applied, research, or teaching)
• Strong written English (C1+)
• Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage

Skills

• Python
• Numpy
• SciPy
• Sympy
• MATLAB
• R
• C
• SQL
• Pandas
• Stata

Location

• Remote

Work Type

• Project-based
• Part-time

Experience Level

• 2+ years of professional experience

Education Level

• Degree in Statistics or related fields

Salary/Compensations

• Up to $50 per hour equivalent

About the Company

• Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems.