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Summer Data Science Instructor Jobs in New York (NOW HIRING)

Hang

Data Scientist

New York, NY · On-site +1

Hang raised a $16 million Series A led by Paradigm last summer, with participation from Tiger ... Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or a related field ...

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Summer Data Science Instructor information

What is a summer data science instructor?

Summer Data Science Instructors are educators who teach data science concepts, tools, and programming skills to students during summer programs or camps. They design and deliver lessons on topics such as data analysis, statistics, machine learning, and data visualization, often using languages like Python or R. These instructors may work with middle school, high school, or college students, helping them build foundational knowledge and hands-on experience in data science. They also mentor students on projects, foster interest in STEM fields, and encourage collaborative problem-solving. Typically, Summer Data Science Instructors have expertise in data science and experience in teaching or mentoring.

What are the key skills and qualifications needed to thrive as a summer data science instructor?

To thrive as a Summer Data Science Instructor, you need a solid background in data science concepts, programming (often Python or R), and a relevant degree or demonstrated expertise in the field. Familiarity with data analysis tools like Jupyter Notebook, pandas, and visualization libraries, as well as teaching or instructional certifications, are typically valuable. Strong communication, patience, and the ability to engage and motivate students are standout soft skills in this role. These skills ensure effective knowledge transfer, student engagement, and a successful learning experience during intensive summer programs.

What are some common challenges faced by summer data science instructors, and how can they be addressed?

Summer Data Science Instructors often encounter the challenge of teaching students with varying levels of prior experience in programming and statistics. To address this, instructors can differentiate their instruction, offering supplemental materials or exercises for beginners while providing advanced projects for more experienced students. Another challenge is keeping students engaged during intensive summer sessions; utilizing interactive activities, real-world datasets, and collaborative projects helps maintain enthusiasm. Instructors also benefit from regular check-ins to gauge student understanding and adjust the pace as needed.

What is the difference between Summer Data Science Instructor vs Data Science Tutor?

AspectSummer Data Science InstructorData Science Tutor
CredentialsTypically requires a degree in data science, computer science, or related field; teaching experience is a plusOften requires a strong background in data science; certifications or degrees enhance credibility
Work EnvironmentUsually works in summer camps, workshops, or academic programs with group settingsProvides one-on-one or small group tutoring sessions, often remotely or in-person
Employer & Industry UsageEmployed by educational institutions, summer programs, or training companiesHired by tutoring platforms, private clients, or educational centers

In summary, a Summer Data Science Instructor typically teaches in group settings during summer programs, requiring formal teaching experience and credentials. In contrast, a Data Science Tutor offers personalized instruction, often on a flexible schedule, focusing on individual student needs. Both roles require strong data science knowledge but differ mainly in environment and scope of teaching.

What are the most commonly searched types of Data Science Instructor jobs in New York?

The most popular types of Data Science Instructor jobs in New York are:

What cities in New York are hiring for Summer Data Science Instructor jobs?

Cities in New York with the most Summer Data Science Instructor job openings:

Summer Data Science Instructor jobs near you

Part-Time Instructor, Data Science, Fall 2025

Rutgers University

New Brunswick, NJ • Hybrid

$2.7K/wk

Part-time

Medical, Dental, Life, Retirement, PTO

Re-posted 25 days ago

Rutgers University rating

7.7

Company rating: 7.7 out of 10

Based on 68 frontline employees who took The Breakroom Quiz

264th of 628 rated colleges and universities

Job description

Position Information
Recruitment/Posting Title Part-Time Instructor, Data Science, Fall 2025 Department SASN -Math & Computer Science Salary Details A minimum of $2,777 per credit Offer Information
The final salary offer may be determined by several factors, including, but not limited to, the candidate's qualifications, experience, and expertise, and availability of department or grant funds to support the position. We also take into consideration market benchmarks, if and when appropriate, and internal equity to ensure fair compensation relative to the university's broader compensation structure. We are committed to offering competitive and flexible compensation packages to attract and retain top talent.
Benefits
Rutgers offers a comprehensive benefits package to eligible employees, based on position, which includes:
  • Medical, prescription drug, and dental coverage
  • Paid vacation, holidays, and various leave programs
  • Competitive retirement benefits, including defined contribution plans and voluntary tax-deferred savings options
  • Employee and dependent educational benefits
  • Life insurance coverage
  • Employee discounts programs
 
For detailed information on benefits and eligibility, please visit: http://uhr.rutgers.edu/benefits/benefits-overview.
Posting Summary
The Program in Data Science, Department of Mathematics and Computer Science, School of Arts and Sciences-Newark, Rutgers University-Newark (RU-N), is seeking part-time instructors (Lecturer/Coadjutant) for the Fall 2025 semester to teach data science courses. The successful candidate will have an interest in teaching ethical issues in data science and machine learning. The successful candidate will cover the full range of duties associated with teaching, including, but not limited to, preparing course material; creating and posting a course syllabus; presenting material during the assigned course times; holding office hours and providing appropriate out-of-class time for students; responding to student e-mails; conducting and grading assessments of students through assignments, exams, and other means, in a timely manner; and submitting final grades. Course appointments may require instruction during the day, in the evenings, on weekends, off-campus, online, hybrid, remotely, or any combination of these, based on the academic needs of the department.
Position Status Part Time Posting Number 25FA0534 Posting Open Date 05/16/2025 Posting Close Date
Qualifications
Minimum Education and Experience
Master's degree in data science, economics, philosophy, psychology, or other data-driven fields required. Ph.D. strongly preferred.
Certifications/Licenses Required Knowledge, Skills, and Abilities
Experience teaching data wrangling and analysis methods preferred. Interest in teaching classes on ethical issues in data science and machine learning a must. Excellent communication and interpersonal skills a must.
Preferred Qualifications Equipment Utilized Physical Demands and Work Environment Overview
The School of Arts and Sciences-Newark (SASN) is a place where exploration, discovery, and imagination come together to form the core of a liberal arts education. We serve all undergraduates at Rutgers University-Newark (RU-N); and offer a broad selection of more than 2,000 undergraduate and graduate courses a year in more than 40 subjects. SASN combines the best of a large research university with a small liberal arts college. RU-N is a remarkably diverse, urban, public research university that is not just in Newark but of Newark-an anchor of our home city.
Statement
Posting Details
Special Instructions to Applicants
The email address listed on the application will be used for all communication.
A syllabus for a course previously taught by the applicant should be included and uploaded under "Other Documents."
One professional reference required. List of two professional references highly preferred.
Quick Link to Posting https://rutgers-sb.peopleadmin.com/postings/251077 Campus Rutgers University-Newark Home Location Campus Rutgers University-Newark City Newark State NJ Location Details
Pre-employment Screenings
All offers of employment are contingent upon successful completion of all pre-employment screenings.
Immunization Requirements

Under Policy 100.3.1 Immunization Policy for Covered Individuals, if employment will commence during Flu Season, Rutgers University may require certain prospective employees to provide proof that they are vaccinated against Seasonal Influenza for the current Flu Season, unless the University has granted the individual a medical or religious exemption. Additional infection control and safety policies may apply. Prospective employees should speak with their hiring manager to determine which policies apply to the role or position for which they are applying. Failure to provide proof of vaccination for any required vaccines or obtain a medical or religious exemption from the University will result in rescission of a candidate's offer of employment or disciplinary action up to and including termination.

Affirmative Action/Equal Employment Opportunity Statement
It is university policy to provide equal employment opportunity to all its employees and applicants for employment regardless of their race, creed, color, national origin, age, ancestry, nationality, marital or domestic partnership or civil union status, sex, pregnancy, gender identity or expression, disability status, liability for military service, protected veteran status, affectional or sexual orientation, atypical cellular or blood trait, genetic information (including the refusal to submit to genetic testing), or any other category protected by law. As an institution, we value diversity of background and opinion, and prohibit discrimination or harassment on the basis of any legally protected class in the areas of hiring, recruitment, promotion, transfer, demotion, training, compensation, pay, fringe benefits, layoff, termination or any other terms and conditions of employment. For additional information please see the Non-Discrimination Statement at the following web address: http://uhr.rutgers.edu/non-discrimination-statement

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