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Data Science Instructor Jobs in Philadelphia, PA

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Data Science Instructor information

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$13.6K

$59.2K

$101.3K

How much do data science instructor jobs pay per year?

As of Aug 8, 2026, the average yearly pay for data science instructor in Philadelphia, PA is $59,204.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,900.00 and $67,600.00 per year, depending on experience, location, and employer.

What are the main challenges faced by data science instructors and how can they be addressed?

Data Science Instructors often encounter challenges such as keeping up with rapidly evolving technologies and catering to students with varying skill levels. Staying current requires ongoing professional development and participation in industry forums or training. To address different learning paces, successful instructors design a range of assignments and provide individualized feedback. Collaborating with other instructors and participating in curriculum development also helps create a supportive teaching environment and enhances student success.

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

To thrive as a Data Science Instructor, you need a strong background in data science concepts, programming (often Python or R), machine learning, and statistical analysis, typically backed by a relevant degree or industry experience. Familiarity with tools such as Jupyter Notebooks, Tableau, and Git, as well as certifications like Google Data Analytics or AWS Certified Data Analytics, is highly valued. Excellent communication, mentorship, and presentation skills help make complex topics accessible and engaging. These skills ensure instructors can effectively convey up-to-date industry knowledge, support diverse learners, and foster strong educational outcomes.

What is a data science instructor?

A Data Science Instructor is responsible for teaching data science concepts, tools, and techniques to students or professionals. They design curriculum, develop learning materials, and provide hands-on training in areas such as machine learning, statistical analysis, and data visualization. Instructors may work for universities, bootcamps, or online platforms, and they often guide students with real-world projects and practical applications. Strong communication skills and industry experience are essential for effectively conveying complex topics.

What are the most commonly searched types of Data Science Instructor jobs in Philadelphia, PA? The most popular types of Data Science Instructor jobs in Philadelphia, PA are:
What are popular job titles related to Data Science Instructor jobs in Philadelphia, PA? For Data Science Instructor jobs in Philadelphia, PA, the most frequently searched job titles are:
What job categories do people searching Data Science Instructor jobs in Philadelphia, PA look for? The top searched job categories for Data Science Instructor jobs in Philadelphia, PA are:
Data Science Instructor jobs near you
Infographic showing various Data Science Instructor job openings in Philadelphia, PA as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $59,204 per year, or $28.5 per hour.

Part Time - Technology and Engineering - Adjunct Instructor

Penn State University

Malvern, PA • On-site

Part-time

Re-posted 3 days ago

Penn State University rating

7.8

Company rating: 7.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

228th of 616 rated colleges and universities

Job description

APPLICATION INSTRUCTIONS:
  • CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, apply internally through Workday.
  • CURRENT PENN STATE STUDENT (not employed previously at the university) and seeking employment with Penn State, please login to Workday to complete the student application process. Please do not apply here, apply internally through Workday.
  • If you are NOT a current employee or student, please click "Apply" and complete the application process for external applicants.

Approval of remote and hybrid work is not guaranteed regardless of work location. For additional information on remote work at Penn State, see Notice to Out of State Applicants.
JOB DESCRIPTION AND POSITION REQUIREMENTS
Penn State Great Valley seeks part-time Instructors (non-tenure track) in our technology and engineering programs. We are looking for professionals with substantial industry experience to teach in the following areas: Artificial Intelligence, Data Analytics, Information Science, Software Engineering, Systems Engineering, and Engineering Management.
Job Duties
  • Deliver high-quality instruction in both online and in-person formats.
  • Develop and update course materials to reflect current industry trends and practices.
  • Engage with students to provide mentorship and support for their academic and professional growth.
  • Collaborate with faculty and staff to enhance the overall educational experience.

Requirements and Qualifications
  • A Doctorate degree in a relevant discipline is preferred; however, candidates with a Master's degree and significant industry experience will also be considered.
  • Prior teaching experience, preferably at the graduate level.
  • Demonstrated expertise and professional experience in the relevant field.
  • Ability to teach in the late afternoons and evenings at the Great Valley campus in Malvern, PA, or online.

Preferred Qualifications
  • Strong communication and interpersonal skills.
  • A passion for teaching and mentoring students.
  • Experience with curriculum development and instructional design.
  • Familiarity with online teaching platforms and technologies.

The review process will begin immediately and continue until the vacancies are filled. Applicants should submit an electronic dossier (no paper submissions please) including a cover letter, areas of teaching interest, a curriculum vitae, a list of courses taught at the graduate and undergraduate level, and a statement on teaching philosophy. All applicant materials must be submitted online.
Information about the Penn State Great Valley School of Graduate Professional Studies and the programs offered can be found at http://www.greatvalley.psu.edu. Located 20 miles northwest of Philadelphia, Great Valley is a special mission campus of The Pennsylvania State University. The School enjoys a central location in a corporate center among world-class corporate neighbors in a rapidly growing technological corridor. Graduate students are working professionals.
BACKGROUND CHECKS/CLEARANCES
Employment with the University will require successful completion of background check(s) in accordance with University policies.
CAMPUS SECURITY CRIME STATISTICS
Pursuant to the Jeanne Clery Disclosure of Campus Security Policy and Campus Crime Statistics Act and the Pennsylvania Act of 1988, Penn State publishes a combined Annual Security and Annual Fire Safety Report (ASR). The ASR includes crime statistics and institutional policies concerning campus security, such as those concerning alcohol and drug use, crime prevention, the reporting of crimes, sexual assault, and other matters. The ASR is available for review here.
EEO IS THE LAW
Penn State is an equal opportunity employer and is committed to providing employment opportunities to all qualified applicants without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. If you are unable to use our online application process due to an impairment or disability, please contact 814-865-1473.
Penn State is committed to and accountable for advancing equity, respect, and belonging. We embrace individual uniqueness, as well as a culture of belonging that supports equity initiatives, leverages the educational and institutional benefits of inclusion in society, and provides opportunities for engagement intended to help all members of the community thrive. We value belonging as a core strength and an essential element of the university's teaching, research, and service mission.
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