Pre-College Instructor, Data Science and Machine Learning 1 (On-Campus), Summer 2024
New York City, United States
Company Description
Columbia University's Pre-College Programs offer high-achieving high school students the opportunity to engage in exploratory coursework at the college level, studying alongside peers from around the world. This highly selective program is open to students entering grades 9-12 and freshman year of college.
Job Description
Columbia University’s Pre-College Programs for High School Students is seeking qualified candidates to develop and teach on-campus (i.e., in person) courses during Summer ’24.
Please Note: Course(s) and course availability is subject to change. Dates and class times are tentative and subject to change.
Sessions:
- Summer A: June 24th - July 12th (Classes do not meet on July 4th)
- Summer B: July 16th - August 2nd
Class Times:
- 9:10-11am & 1:10-3pm OR
- 11:10am-1pm & 3:10-5pm
Course description:
Data science and machine learning are exciting and popular disciplines. While different fields, they work best in sync to help change the way humans think, behave, and interact. In fact, some of the most popular data science methods stem from machine learning. Through this course, students will be introduced to the foundations of both science areas and explore available career opportunities. Beginning with an overview of the landscape and real-world applications, students will learn how data science and machine learning impact the world in which we live, every day. Further, students will gain hands-on experience with introductory coding using Python and become versed in popular machine learning algorithms. By the end of the course, students will use their benchmark knowledge to analyze and present data ethically and effectively. Finally, students will leave the course prepared for more advanced practice in data science and machine learning.
Note: This course is for students with little-to-no previous experience with coding/programming. Students with more advanced knowledge should consider Data Science and Machine Learning II.
Responsibilities:
- Develop course content, syllabus, lesson plans, and assigned work
- Lead and attend all in-person class sessions
- Establish and maintain a dynamic in-class environment tailored for our high school population
- Evaluate student work and write a holistic evaluation of each participant after the course ends
- Monitor and address student concerns and inquiries (you will have around 20-24 students)
- Attend and complete all required online trainings
Qualifications
- Graduate degree or equivalent professional or academic background
- Expertise in the pertinent subject matter
- Aptitude for teaching
Additional Information
Hiring Salary Ranges:
- Summer A on-campus: $6,150 - $7,850
- Summer B on-campus: $6,150 - $7,850
Please specify which session(s) you would be interested in teaching.
- Please submit a resume inclusive of teaching experience as well as formal teaching evaluations (if available)
- Applicants must have U.S. work authorization and will need to be in the U.S. while teaching
- Applicants may not hold a concurrent appointment with Columbia for the duration of their appointment
- Once hired, applicants are required to submit to a third party background check and complete Protection of Minors training in addition to other training(s) mandated by the University and Pre-College Program
For more information on the program, hiring process, and class schedules, please see here.
Your information will be kept confidential according to EEO guidelines.
Columbia University is an Equal Opportunity/Affirmative Action employer.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Machine Learning Python STEM Teaching
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