Remote | Mathematics Expert — $65–$100/hour

24-Mag•New York, NY

12h•Remote

About The Position

We are sharing a specialised part-time consulting opportunity for professionals experienced in mathematics, statistical analysis, mathematical modeling, proof-based reasoning, computational mathematics, and structured quantitative review. This role supports current and upcoming remote consulting opportunities focused on mathematics-related task development, quantitative reasoning review, statistical analysis, mathematical proof evaluation, computational problem assessment, and high-quality project execution. Selected professionals will apply their mathematics expertise to review realistic technical scenarios, evaluate analytical outputs, prepare structured written feedback, and support accurate, evidence-based mathematics workflow tasks.

Requirements

Professional experience in mathematics, applied mathematics, statistics, mathematical modeling, computational mathematics, quantitative analysis, teaching, research, or technical review.
Background in one or more areas such as statistical analysis, probability, mathematical proof, theory, optimization, numerical methods, applied mathematics, or computational modeling.
Familiarity with workflows involving mathematical problem solving, formal reasoning, statistical interpretation, model review, and technical documentation.
Comfort reading and preparing mathematics artifacts such as proofs, calculations, models, statistical summaries, problem solutions, and analytical explanations.
Strong written communication skills.
Ability to work independently in a remote, project-based environment.
A degree or professional background in mathematics, applied mathematics, statistics, data science, economics, computer science, engineering, or a related quantitative field is helpful.
Graduate-level study, research experience, teaching experience, publications, or applied quantitative work is highly relevant.
Equivalent practical experience in mathematical analysis, modeling, computational work, or structured quantitative review is also valuable.

Nice To Haves

Experience with statistical modeling, mathematical proof writing, computational mathematics, numerical analysis, optimization, probability, or formal reasoning.
Familiarity with Python, R, MATLAB, Mathematica, LaTeX, spreadsheets, statistical tools, or mathematical modeling software.
Experience preparing or reviewing problem sets, technical reports, mathematical explanations, research summaries, benchmark tasks, or quantitative assessments.
Background in academic research, tutoring, teaching, data science, quantitative finance, operations research, or applied analytics.
Strong attention to detail in proof-heavy, numbers-heavy, and reasoning-focused environments.

Responsibilities

Review mathematics-related materials involving proof-based reasoning, theoretical concepts, formal logic, and structured problem solving.
Evaluate mathematical outputs against source materials, assumptions, definitions, and documented review criteria.
Support structured review of proofs, derivations, solution explanations, quantitative arguments, and mathematical task outputs.
Identify missing assumptions, reasoning gaps, notation issues, and expected mathematical review outcomes.
Review scenarios involving statistical analysis, mathematical modeling, probability, data interpretation, and quantitative methods.
Evaluate outputs for accuracy, consistency, clarity, and alignment with mathematical principles.
Support structured review of models, calculations, charts, statistical explanations, and analytical workflows.
Prepare clear written explanations for mathematical conclusions based on source materials and verifiable criteria.
Create or review tasks and deliverables based on real-world mathematics, modeling, and computational workflows.
Provide domain-specific feedback on mathematical accuracy, reasoning quality, solution structure, and technical communication.
Support evaluation workflows involving model outputs, quantitative reasoning, proof-style analysis, and computational mathematics.
Maintain accuracy, consistency, and professional judgment across submitted work.