Statistics Graduate Level Tutor

Job Description

Statistics Graduate Level Tutor | Varsity Tutors

The Tone:
This is a contract role at Varsity Tutors, located remotely. Varsity Tutors builds a Live Learning Platform, leveraging advanced technology, AI, and learning science to create personalized learning experiences. This role matters significantly because tutors support thousands of students nationally, making a direct impact on their academic success and understanding in statistics. Tutors help transform the way people learn by providing customized instruction.

The TL;DR
• Role: Contract
• Location: Remote
• Pay: $40 hourly
• Mission: This person supports students nationally by providing expert statistical guidance to enhance their academic success and understanding.
• Tech Stack: Live Learning Platform, AI-powered Tutor Copilot, R, Python

What You’ll Actually Do
• Provide personalized instruction through 1-on-1 online tutoring sessions to individual students.
• Accept on-demand tutoring requests to support students whenever you are available.
• Utilize the AI-powered Tutor Copilot for real-time instructional support, lesson generation, and engagement features to enhance teaching impact.
• Invoice for your tutoring sessions, with all payment logistics managed by the platform.
• Guide students through advanced topics like designing experiments, performing multivariate analysis, constructing confidence regions, and implementing statistical models in software.

The Must-Haves
• Background: Graduate-level mastery of mathematical statistics, including maximum likelihood estimation, hypothesis testing theory, Bayesian inference, and regression analysis.
• Experience: Proven capability in explaining complex statistical concepts like asymptotic theory and ANOVA decompositions, and guiding students through research methodology and doctoral-level statistical analysis.
• Skills: Deep knowledge of mathematical statistics, including sufficient statistics, multivariate methods, and nonparametric statistics; ability to adapt instruction using R or Python; excellent communication and an engaging teaching style; familiarity with graduate statistics curricula.