Remote Data Science Immersion Instructor at Thinkful 📈 Open Startup
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Data Science Immersion Instructor

Data Science Immersion Instructor  


Thinkful


teaching

data science

teaching

data science

17d
\nApply here\n\n\n* Education\n\n* Remote\n\n* Contract\n\n\n\n\n\n\nJob Description\nStudents enroll in Thinkful courses to gain the valuable technical and professional skills needed to take them from curious learners to employed software developers. As a Data Science Immersion Course Instructor, you will deliver high quality live workshop content based on the Data Science curriculum, preparing students to successfully transition careers. \n\nIn 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.\n\nResponsibilities\n\n\n* \nDelivers high quality workshops based on the curriculum materials, and provides live demos when appropriate, to supplement written materials and content to provide students with the skills and knowledge to get their first job\n\n* Support students by answering questions and providing guidance as they work independently or in pairs on assignments during the class day\n\n* Maintains and updates the daily and weekly student syllabus which outlines the required homework and assignments, and deadlines for assessments and projects.\n\n* 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\n\n\n\n\n\n\nRequirements\n\n\n* 8 hours a day, 5 days a week.\n\n* Available to instruct Monday through Friday 10am-2:00pm ET\n\n* Available to spend up to 4 hours a day prepping for workshops and updating course materials.\n\n* Strong expertise with Python, SQL, statistics, supervised and unsupervised learning, and topics such as NLP, deep learning (using Tensorflow and Keras), or big data (using spark, AWS, and hadoop)\n\n* Expertise with Data Structures and Algorithms, and comfort explaining these topics. \n\n* Ability to explain complicated topics clearly and without jargon\n\n* Strong written and verbal communication skills\n\n* High level of detail orientation and an exceptional work ethic\n\n* Enjoy working with people, not just putting your head down and working\n\n* Must have a reliable, high-speed Internet connection\n\n* Minimum 3-4 years of professional data science experience\n\n\n\n\nCompensation and Benefit\n\n\n* Contract position with a collaborative team\n\n* Ability to work remotely with partially flexible hours \n\n* Access to all available course curriculum for personal use\n\n* Membership to a global community of over 500 Software Engineers, Developers, and Data Scientists who, like you, want to keep their skills sharp and help learners break into the industry\n\n\n\n\nAt this time, we are unable to consider applicants from the following states: Alaska, Delaware, Idaho, New Mexico, North Dakota, South Carolina, South Dakota, West Virginia, and Wyoming

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