Job Description
General Description
Location: Medgar Evers College, CUNY, Brooklyn, NY (Onsite)
About Us:
The Tech Talent Pipeline Residency Program (TTPR), an internship placement program for computer science students at Medgar Evers College, seeks an experienced technical instructor for a ten-week in-person data science coding bootcamp. The instructor must have Python and data science expertise and classroom experience. Experience in the tech industry is a strong plus. This role is ideal for individuals who possess a deep passion for teaching and a commitment to increasing diversity in the tech industry.
Start: June 10, 2024
End: August 16, 2024
Responsibilities
The instructor’s primary responsibility will be teaching and mentoring students throughout their Data Science bootcamp. The bootcamp will largely be project based, with students completing online tutorials, and building individual and group projects in class.
- Design the curriculum and choose the resources and learning platform(s) to use. This will be done in collaboration with the TTPR’s tech advisor and the faculty advisor.
- Develop and deliver engaging lectures and presentations on data science topics such as data wrangling, exploratory data analysis, data visualizations, database queries, linear regression, and machine learning.
- Design and implement hands-on projects and assignments that allow students to apply data science concepts in practical settings.
- Provide guidance and support to students as they work on individual and group projects.
- Evaluate student performance using formal and informal assessments and provide constructive feedback to help them improve their skills.
The instructor will have the support of the TTPR’s tech advisor, faculty advisor, and five TA’s during the bootcamp.
Application Process: To apply, please submit your resume, and a sample syllabus for a data science course you would like to teach.
Other Duties
Qualifications
- A degree in data science, computer science, statistics, or a related field preferred.
- Strong background in data science, machine learning, and statistics.
- Expertise in Python data science and machine learning libraries, such as pandas, NumPy, matplotlib, seaborn, and scikit-learn.
- Experience with GitHub, SQL, and real-world data sets.
- Experience/familiarity with Learning Management Systems (e.g., Canvas, Brightspace) and online learning environments (e.g., Zoom)
- Experience in a teaching or mentorship role, and a demonstrated ability for creating a welcoming and open learning environment.
- Familiarity with Generative AI tools is preferred but not required.
- Tech industry experience and experience recruiting for tech roles are a plus.
RFCUNY Benefits
RFCUNY Employee Benefits and AccrualsAbout the Research Foundation
The Research Foundation of The City University of New York (RFCUNY) was established as a not-for-profit educational corporation chartered by the State of New York in 1963. RFCUNY supports CUNY faculty and staff in identifying and obtaining external support (pre-award) from government and private sponsors and is responsible for the administration of all such funded programs (post-award).
RFCUNY stands between CUNY’s principal investigators (PIs) and the sponsors who support them and strives to fulfill its essential responsibilities to both groups. Working closely with individual PIs and Grants Officers on the campuses, RFCUNY oversees employment, accounting, audit, reporting, purchasing, and special responsibilities that include management of a planned giving program; liaison with governmental agencies and foundations; negotiation of agreements; facility construction and renovation; protection and commercialization of intellectual property; and compliance with applicable standards in research involving human subjects, animal care, environmental and radiological safety, and conflicts of interest.
Equal Employment Opportunity Statement
Key Features
Computer Science
Part Time
$55.00-$75.00
30.00
Jun 29, 2024 (Or Until Filled)