Job Title: Data Science Summer Bootcamp Instructor
PVN ID: ME-2404-006259
Category: Instruction and Social Service
Location: MEDGAR EVERS COLLEGE

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 Accruals

About the Research Foundation

The Research Foundation of The City University of New York (RFCUNY) is a nonprofit educational corporation founded in 1963 to provide post-award fiscal and administrative support for CUNY’s research and sponsored programs. RFCUNY’s services allow CUNY researchers, faculty, and staff to focus on their intellectual curiosity and scientific discoveries, on projects and programs that serve our local and global communities, proposing concrete solutions to society’s most pressing challenges.

RFCUNY serves as a fiscal agent and works closely with all the CUNY campus Grants Offices to perform the core functions of post-award financial management for CUNY research projects and sponsored programs. These functions include legal assessment and signing of agreements where RFCUNY is named as a fiscal agent; setting up award accounts; preparing sub-awards and assisting PIs in monitoring the work of the recipients of sub-awards; supporting project directors with hiring and managing research project and sponsored program staff; supporting the purchasing and paying for goods and services with grant and program funds; managing financial aspects of projects including accounts receivable, financial reporting, invoicing, budget monitoring, and cost compliance with uniform guidance; ensuring that sponsor financial requirements are met; monitoring compliance with applicable project and financial management rules and laws; supporting the management of independent and external audits and financial reviews; and providing data, information, management expertise, and other supports to CUNY’s research and sponsored programs.

Equal Employment Opportunity Statement

The Research Foundation of the City University of New York is an Equal Opportunity/Affirmative Action/Americans with Disabilities Act/E-Verify Employer. It is the policy of the Research Foundation of CUNY to provide equal employment opportunities free of discrimination based on race, color, age, religion, sex, pregnancy, childbirth, national origin, disability, marital status, veteran status, sexual orientation, gender identity, genetic information, marital status, domestic violence victim status, arrest record, criminal conviction history, or any other protected characteristic under applicable law.

Key Features

Department
Computer Science
Status
Part Time
Pay Range
$55.00-$75.00
Hour(s) a week
30.00
Closing Date
Jun 29, 2024 (Or Until Filled)
Bargaining Unit
No

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