Candidate
Employer
Statistics Graduate Level Tutor
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Job Description
Statistics Graduate Level Tutor | Varsity Tutors
The Tone:
This is a freelance opportunity at Varsity Tutors, located remotely. Varsity Tutors operates a Live Learning Platform, seeking online tutors to connect with thousands of students nationally. This role is crucial for delivering personalized instruction that significantly impacts students’ academic success and understanding, all from the comfort of your home.
The TL;DR
• Role: Freelance
• Location: Remote
• Pay: Up to $40 hourly
• Mission: To provide customized, in-depth online instruction to individual students, helping them achieve their learning goals.
• Tech Stack: Live Learning Platform, AI-powered Tutor Copilot, R, Python
What You’ll Actually Do
• Tutor: Provide personalized, in-depth instruction in Statistics at the graduate level to individual students.
• Explain: Break down intricate derivations such as likelihood function derivations, posterior distribution calculations, and ANOVA decompositions.
• Guide: Guide students through designing experiments, performing multivariate analysis, and implementing statistical models in software.
• Prepare: Capably 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: Advanced subject mastery in mathematical statistics, including maximum likelihood estimation, Bayesian inference, regression analysis, and multivariate methods, suitable for graduate-level teaching.
• Experience: Proven ability to identify concepts students commonly struggle with and explain material using multiple approaches.
• Skills: Deep knowledge of complex statistical concepts like asymptotic theory and generalized linear models; adept at guiding students through problem-solving; strong communication skills with an engaging teaching style.
• Bonus: Familiarity with graduate statistics curricula, common student challenges, and ability to adapt instruction using R or Python statistical computing.
