Data Science Specializations Immersion Instructor

Thinkful · Remote, USA · March 5, 2020

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💰 $80,000 - $90,000 / yr

Description
Students enroll in Thinkful courses to gain the valuable technical and professional skills needed to take them from curious learners to employed software developers. As an Immersive Course Instructor, you will deliver high quality live workshop content based on existing curriculum, preparing students to successfully transition careers. As an instructor for the specializations part of program, you will deliver high quality live workshop and help to students on topics such as Time Series Analysis, NLP, Deep Learning (using Tensorflow and Keras), or Big Data (using spark, AWS, and hadoop).

In addition to working directly with students, Instructors are expected to maintain an environment of regular, candid feedback with the Educator Experience team, and to stay on top of important updates via meetings, email, and Slack. Ideal candidates for this team are highly coachable, display genuine student advocacy, and are comfortable working in a complex, rapidly changing environment.

Responsibilities:
Delivers high quality workshops based on the curriculum materials, and provides live coding demos when appropriate, to supplement written materials and content to provide students with the skills and knowledge to get their first developer job
Maintains and updates the daily and weekly student syllabus which outlines the required homework and assignments, and deadlines for assessments and projects
Provides up to 2 hours daily of on-demand video and chat support for students as they move through the program assignments
Spends up to 4 hours a day prepping for workshops and updating course materials
Works with the other Format Leads for engagement formats (Mentor Sessions, Group Sessions, Grading, Technical Coaching, Mock Interviews/Assessments) to ensure that consistent experience is happening for students in immersive courses
Provide constructive feedback to the Instructional Design team on improvements to the course materials and curriculum based on student experience with the materials

Requirements:
Strong expertise with Time Series Analysis, NLP, Deep Learning (using Tensorflow and Keras), or Big Data (using spark, AWS, and hadoop).
Strong expertise with with Python, SQL, statistics, supervised and unsupervised learning
Expertise with Data Structures and Algorithms, and comfort explaining these topics
Ability to run capstone projects and help students during these weeks from idea to implementation
Ability to explain complicated topics clearly and without jargon
Strong written and verbal communication skills
High level of detail orientation and an exceptional work ethic
Enjoy working with people, not just putting your head down and working
Must have a reliable, high-speed Internet connection
Minimum 3-4 years of professional data science experience
Teaching experience, especially in a remote or online class, is a plus

Education Data Science Python

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