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. 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, 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, and document problem statements clearly while providing verified correct answers.

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)
  • Experience in international or applied projects

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
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service