Teaching Assistant - Data Analytics
Research Foundation of The City University of New York • New York, NY6d • Hybrid
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Teaching Assistant - Data Analytics
Research Foundation of The City University of New York•New York, NY
•Hybrid
About The Position
The NYC Tech Talent Pipeline Residency Program at Baruch College is seeking Teaching Assistants to support a 10-week Data Analytics Bootcamp for Computer Information Systems (CIS) majors. The bootcamp will be operating on a hybrid (in-person and virtual) schedule. The instructional team includes one (1) Instructor, two (2) Teaching Assistants, and one (1) Lead Teaching Assistant. Teaching Assistants will provide in-person support to approximately 40 CUNY students, guide project work, reinforce technical concepts, and facilitate hands-on learning activities. The NYC Tech Talent Pipeline (TTP), an initiative of the Workforce Development Corporation (WDC), is the City of New York’s tech industry partnership. Launched in 2014, TTP supports the inclusive growth of NYC’s tech sector and prepares New Yorkers for 21st-century careers. Through partnerships with over 385 companies, 17 local colleges, and numerous public and private collaborators, TTP designs innovative training models that align academic learning with real industry demands.
Requirements
- Bachelor's degree
- Proficiency in key data analytics tools: Python (pandas) for data wrangling and preprocessing
- SQL for data extraction; Tableau or PowerBI for dashboard construction and business storytelling
- Scikit-learn for applied machine learning (decision trees, confusion matrix, model evaluation)
- NLP tools for text analytics (tokenization, TF-IDF, sentiment analysis)
- Strong understanding of Git and GitHub collaboration workflows
Nice To Haves
- Experience using prebuilt NLP or LLM APIs (e.g., HuggingFace, OpenAI) for applied text analytics instruction
- Prior experience as a teaching assistant in a bootcamp or CUNY academic setting
- Ability to explain machine learning concepts intuitively and at a conceptual level (fit predict interpret) without requiring mathematical derivations
- Experience supporting learning in online classrooms
Responsibilities
- Support students in mastering core data analytics concepts.
- Provide guidance during hands-on labs, group projects, and individual assignments.
- Facilitate small-group breakout sessions and one-on-one instructions to reinforce classroom content.
- Assist with grading assignments, including pre/post assessments and capstone projects.
- Help students navigate online tutorials and troubleshoot technical issues.
- Contribute to assignment development or curriculum improvements as needed.
- Other duties as assigned.
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What This Job Offers
Job Type
Part-time
Career Level
Entry Level
Number of Employees
501-1,000 employees
Job Search Resources
Career Resources
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