Candidate
Employer
Statistics Graduate Level Tutor
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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 and AI to create personalized learning experiences. This role matters because tutors make a significant impact on students’ academic success and understanding, helping them achieve their learning goals from the comfort of their home.
The TL;DR
• Role: Contract
• Type: Flexible
• Location: Remote
• Pay: Up to $40 hourly
• Mission: Guide graduate-level students in statistics to achieve academic success and deep understanding.
• Tech Stack: Live Learning Platform, AI-powered Tutor Copilot, R, Python
What You’ll Actually Do
• Instruct: Provide personalized, 1-on-1 online instruction to individual graduate-level statistics students.
• Guide: Guide students through designing experiments, performing multivariate analysis, and implementing statistical models in software.
• Explain: Explain advanced statistical theories such as asymptotic theory, Neyman-Pearson lemma, and generalized linear models.
• Prepare: Prepare students for research methodology and doctoral-level statistical analysis.
• Adapt: Adapt instruction using R or Python statistical computing, research paper examples, and proof-based exercises.
The Must-Haves
• Background: Deep knowledge of mathematical statistics, including maximum likelihood estimation, Bayesian inference, and hypothesis testing theory.
• Experience: Proven ability to break down complex statistical derivations and calculations for students. Familiarity with graduate statistics curricula and common student challenges.
• Skills: Strong communication skills with a friendly and engaging teaching style; ability to explain material using multiple approaches; skilled at identifying and addressing student conceptual struggles.
• Bonus: Proficiency in R or Python for statistical computing and experience preparing students for doctoral-level statistical analysis.
