Engineering Applications, Virtual Probability, and Statistics Tutor

New

Workable workplace: remote; Workable locations: United States, evenings Central timeContract

Salary60 - 100 USD per hour

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Job Details

Have completed graduate-level coursework in probability and mathematical statistics, or have taught it.
Have worked directly with reliability analysis, including limit state functions, the reliability index, and first- and second-order reliability methods.
Be able to derive and work with distributions of functions of random variables.
Have built or run Monte Carlo simulations for uncertainty quantification.
Be comfortable with parameter estimation, regression, and correlated random variables at the level of a graduate statistics sequence.
Be able to work through an assigned problem set or textbook section without extensive preparation.
Have taught or tutored quantitative material at the graduate or advanced undergraduate level.
Be available evenings Central time, able to begin immediately, and able to maintain a consistent schedule through the end of the fall semester.
Preferred: PhD or PhD candidacy in statistics, applied mathematics, reliability engineering, or a related quantitative field.
Preferred: Experience as a teaching assistant or instructor for a probability, statistics, or reliability course.
Preferred: Working knowledge of a computational tool for simulation and statistical analysis, such as Python, R, or MATLAB.
A current background check and verifiable references from prior teaching, tutoring, or academic roles are required.

Meet virtually with the student twice per week on a consistent evening schedule.
Preview upcoming course material so the student arrives at lectures familiar with the concepts.
Break down mathematically complex material into clear, sequential steps while maintaining rigor.
Work through representative problems and course assignments to build problem-solving fluency.
Connect probability and statistics principles to engineering applications.
Identify gaps in prerequisite mathematics or statistics and strengthen them efficiently.
Support preparation for homework, midterms, and the cumulative final exam.
Coordinate directly with the student on scheduling, priorities, and session focus.
Adjust session frequency around assessments when needed.

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