1

Summer Data Science Instructor Jobs (NOW HIRING)

Free food & snacks Get Campers Excited About Science This Summer! Camp Schedule: * Camps are one week in duration, running multiple weeks throughout the summer. * Instructors will teach the same camp ...

next page

Showing results 1-20

Summer Data Science Instructor information

See salary details

$13.5K

$58.7K

$100.5K

How much do summer data science instructor jobs pay per year?

As of Jun 21, 2026, the average yearly pay for summer data science instructor in the United States is $58,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,500.00 and $67,000.00 per year, depending on experience, location, and employer.

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 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 are Summer Data Science Instructors?

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, and why are they important?

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 cities are hiring for Summer Data Science Instructor jobs? Cities with the most Summer Data Science Instructor job openings:
What are the most commonly searched types of Data Science Instructor jobs? The most popular types of Data Science Instructor jobs are:
What states have the most Summer Data Science Instructor jobs? States with the most job openings for Summer Data Science Instructor jobs include:
Lecturer - Data Science Undergraduate Studies - College of Computing, Data Science, and Society

Lecturer - Data Science Undergraduate Studies - College of Computing, Data Science, and Society

University of California, Berkeley

Berkeley, CA • On-site

$70K - $199K/yr

Other

Posted 19 days ago


University Of California Berkeley rating

8.6

Company rating: 8.6 out of 10

Based on 31 frontline employees who took The Breakroom Quiz

52nd of 538 rated colleges and universities


Job description

Position overview
Salary range: The UC academic salary scales set the minimum pay at appointment. See the following table for the current salary scale for this position: https://www.ucop.edu/academic-personnel-programs/_files/2025-26/represented-july-2025-scales/t15.pdf . The current full-time salary range for this position is $70,977-$199,722. Placement on the scale is commensurate with college teaching experience.
Percent time: 15% to 100%
Anticipated start: Positions usually start in July or August for Fall, January for Spring and June for Summer.
Review timeline: Applications will be accepted and reviewed for unit needs through January 2027. Applications are typically considered in April and May for fall course needs, in September and October for spring course needs, and February and March for summer course needs. The pool will close January 2027; applicants wishing to remain in the pool after that time will need to submit a new application.
Application Window
Open date: June 9, 2025
Most recent review date: Tuesday, Jun 24, 2025 at 11:59pm (Pacific Time) Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Tuesday, Jan 12, 2027 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
Position description
Data Science Undergraduate Studies (DSUS) at the University of California, Berkeley invites applications for a pool of qualified temporary lecturers to teach DSUS courses should an opening arise. Screening of applicants is ongoing and will continue as needed. The number of positions varies from semester to semester (fall, spring and summer sessions), depending on the needs of the unit.
About DSUS
Data Science Undergraduate Studies (DSUS) offers a range of academic, co-curricular, and enrichment programs-including the Data Science major and minor-with a wide-reaching impact both across UC Berkeley and beyond.
Designed in collaboration with faculty from across Berkeley, Data Science invests students with deep technical knowledge, expertise in how to apply that knowledge in a field of their choosing, and an understanding of the social and human contexts and ethical implications of how data are collected, analyzed, and used. This combination positions graduates to help inform and develop solutions to a range of pressing challenges, from adapting industry to a new world of data to amplifying learning in education to helping communities recover from disaster.
DSUS is part of the College of Computing, Data Science, and Society (CDSS), which strives to develop, implement, and share high-quality, ethics-oriented, and accessible curricula, educating a diverse student body in data science, computing, and statistics. Core to the college is an understanding of how computing and data science affect equality, equity, and opportunity-and the capacity to respond to social challenges.
DSUS is committed to hiring and developing staff who want to work in a high performing culture that reflects the outstanding work of our faculty and students. DSUS seeks candidates who can support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Responsibilities
DSUS is seeking outstanding instructors to be appointed in the non-Senate Lecturer title series who can teach small and large courses in several areas. We are particularly interested in instructors who can combine computational and inferential thinking in a way that reflects the new field of Data Science Education.
Core courses include:
Fundamentals of Data Science
Principle and Techniques of Data Science
Human Contexts and Ethics of Data
Data and Justice
Data, Inference, and Decisions
Honors Thesis Seminar
Connector Courses: Instructors may be hired to teach Connector Courses that connect Foundations of Data Science with other disciplines, such as neuroscience, legal studies, public health, demography, English or others. Connector courses allow students to apply theoretical concepts from data science to a particular area of interest. Course design and syllabus will leverage the sequence of computational and statistical techniques that students learn in the Foundations course.
Teaching a Data Science course may include holding office hours, assign grades, advise students, prepare course materials (e.g., syllabus), provide clear and prompt feedback on student work, and maintain the course website.
Please note: The use of a lecturer pool does not guarantee that an open position exists. See the review date specified in AP Recruit to learn whether the unit is currently reviewing applications for a specific position. If there is no future review date specified, your application may not be considered at this time.
Department: https://data.berkeley.edu/dsus
Division: https://data.berkeley.edu
Qualifications
Basic qualifications (required at time of application)
Must have an advanced degree or be enrolled in an advanced degree program at the time of application.
Additional qualifications (required at time of start)
Advanced degree. Candidates must already be authorized to work in the United States.
Preferred qualifications
A Ph.D. or equivalent international degree in computer science, statistics, information, applied mathematics, engineering, or the social sciences is preferred.
Ability to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.
Application Requirements
Document requirements
  • Curriculum Vitae - Your most recently updated C.V.
  • Cover Letter
  • Statement of Teaching - Please discuss prior teaching experience, teaching approach, and future teaching interests. This can include, for example, specific efforts, accomplishments, and future plans to support the success of all students through inclusive curriculum, classroom environment, and pedagogy.

Reference requirements
  • 3-4 required (contact information only)
Apply link: https://aprecruit.berkeley.edu/JPF04958
Help contact: cdss_ap@berkeley.edu
About UC Berkeley
UC Berkeley is committed to diversity, equity, inclusion, and belonging in our public mission of research, teaching, and service, consistent with UC Regents Policy 4400 and University of California Academic Personnel policy ( APM 210 1-d ). These values are embedded in our Principles of Community , which reflect our passion for critical inquiry, debate, discovery and innovation, and our deep commitment to contributing to a better world. Every member of the UC Berkeley community has a role in sustaining a safe, caring and humane environment in which these values can thrive.
The University of California, Berkeley is an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, or protected veteran status.
For more information, please refer to the University of California's Affirmative Action and Nondiscrimination in Employment Policy and the University of California's Anti-Discrimination Policy .
In searches when letters of reference are required all letters will be treated as confidential per University of California policy and California state law. Please refer potential referees, including when letters are provided via a third party (i.e., dossier service or career center), to the UC Berkeley statement of confidentiality prior to submitting their letter.
As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements.
Unless stated otherwise, unambiguously, in the position description, this position does not include sponsorship of a new consular H-1B visa petition that would require payment of the $100,000 supplemental fee.
As a condition of employment, the finalist will be required to disclose if they are subject to any final administrative or judicial decisions within the last seven years determining that they committed any misconduct.
  • "Misconduct" means any violation of the policies or laws governing conduct at the applicant's previous place of employment, including, but not limited to, violations of policies or laws prohibiting sexual harassment, sexual assault, or other forms of harassment or discrimination, as defined by the employer.
  • UC Sexual Violence and Sexual Harassment Policy
  • UC Anti-Discrimination Policy
  • APM - 035: Affirmative Action and Nondiscrimination in Employment

Job location
Berkeley, CA

What University Of California Berkeley employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom