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 aims to transform how people learn by leveraging advanced technology and AI to create personalized learning experiences. As a Statistics Graduate Level Tutor, you will provide customized instruction to students across the nation, significantly impacting their academic success and understanding of complex statistical concepts.

The TL;DR
• Role: Contract
• Location: Remote
• Pay: $40 hourly
• Mission: Provide personalized instruction to graduate-level students in Statistics, helping them achieve their learning goals.
• Tech Stack: Live Learning Platform, AI-powered Tutor Copilot

What You’ll Actually Do
• Provide personalized 1-on-1 online instruction to individual students.
• Accept on-demand instant tutoring requests whenever you are available.
• Guide students through complex statistical concepts like likelihood function derivations, posterior distribution calculations, and ANOVA decompositions.
• Prepare masters and doctoral students for research methodology and advanced statistical analysis.
• Adapt instruction using R or Python statistical computing, research paper examples, and proof-based exercises.

The Must-Haves
• Background: Deep knowledge of mathematical statistics, maximum likelihood estimation, sufficient statistics, hypothesis testing theory, Bayesian inference, regression analysis, multivariate methods, experimental design, and nonparametric statistics.
• Experience: Ability to explain asymptotic theory, Neyman-Pearson lemma, and generalized linear models. Skilled at breaking down complex calculations and guiding students through designing experiments, performing multivariate analysis, and implementing statistical models in software.
• Skills: Strong communication skills and an engaging teaching style, with the ability to identify common student struggles and adapt instruction using multiple approaches to meet individual learning needs. Familiarity with graduate statistics curricula and common challenges.
• Bonus: Emphasis on theoretical foundations and connecting advanced statistics to biostatistics, econometrics, and machine learning research applications.