About The Position

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. This opportunity is a good fit for statistics specialists with experience in Python, open to part-time, non-permanent projects.

Requirements

  • 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+).

Nice To Haves

  • Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.

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 (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.

Benefits

  • Project-based opportunities
  • Up to $73 per hour equivalent compensation
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