Statistics Graduate Level Tutor

Job Description

Statistics Graduate Level Tutor | Varsity Tutors

The Tone:
This is a contract role at Varsity Tutors, located remotely across the nation (excluding specific states). Varsity Tutors builds an advanced live learning platform, powered by technology, AI, and cutting-edge learning science, to create truly personalized educational experiences. This role matters because it directly impacts students’ academic success and understanding, providing expert graduate-level statistics tutoring that helps them achieve their academic goals and fosters a renewed passion for learning.

The TL;DR
• Role: Contract
• Type: Flexible schedule
• Location: Remote
• Pay: Up to $40 hourly
• Mission: Enable graduate-level students to master complex statistical concepts and excel in their academic and research pursuits.
• Tech Stack: Live Learning Platform, AI-powered Tutor Copilot, R, Python

What You’ll Actually Do
• Instruction: Provide personalized, in-depth instruction to individual students through 1-on-1 online tutoring sessions.
• Concept Explanation: Explain complex mathematical statistics concepts, including maximum likelihood estimation, Bayesian inference, and generalized linear models, to graduate-level students.
• Problem Solving: Guide students through intricate derivations, designing experiments, performing multivariate analysis, and implementing statistical models in software.
• Curriculum Adaptation: Adapt instruction based on graduate statistics curricula and common student challenges, using statistical computing tools, real-world research examples, and proof-based exercises.
• Engagement Enhancement: Utilize AI-powered instructional support, lesson generation, and engagement features to save prep time and enhance the impact of teaching sessions.

The Must-Haves
• Background: Advanced subject mastery at the graduate level in mathematical statistics, with the capability to prepare students for research methodology and doctoral-level statistical analysis.
• Experience: Proven skill in breaking down intricate derivations like likelihood functions and ANOVA decompositions, and aptitude for guiding students through experiment design and statistical model implementation.
• Skills: Deep knowledge of mathematical statistics, strong conceptual teaching and problem-solving abilities, excellent communication skills, and an engaging teaching style adaptable to individual learning needs.
• Bonus: Familiarity with graduate statistics curricula and common student challenges, along with the ability to connect advanced statistics to applications in fields like biostatistics, econometrics, and machine learning research.