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Data Science Instructor Jobs in Pepperell, MA (NOW HIRING)

Summer Instructor

Worcester, MA · On-site

$2.5K - $6.0K/wk

JOB TITLE Summer Instructor LOCATION Worcester DEPARTMENT NAME Pre-Collegiate Outreach Programs ... We offer STEM programs such as biomedical engineering, computer science, data science, mechanical ...

Barre Instructor

Burlington, MA · On-site

$60 - $95/hr

Bachelor's degree in Exercise Science, Kinesiology, or a related field * Experience teaching across ... Familiarity with heart rate training tools and performance data coaching * Proven ability to build ...

Bachelor's degree in Exercise Science, Kinesiology, or a related field * Experience teaching across ... Familiarity with heart rate training tools and performance data coaching * Proven ability to build ...

Group Instructor and Coach

Peabody, MA · On-site

$60 - $95/hr

Bachelor's degree in Exercise Science, Kinesiology, or a related field * Experience teaching across ... Familiarity with heart rate training tools and performance data coaching * Proven ability to build ...

Group Fitness Coach

Medford, MA · On-site

$50 - $85/hr

Energetic group fitness instructors and performance-minded coaches Key Focus: Functional strength ... Bachelor's degree in Exercise Science, Kinesiology, or a related field * Experience teaching across ...

... through science-backed assessment and conditioning protocols. In this leadership role, you'll ... Instructor * Comfortable with basic data interpretation and exercise physiology principles

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Data Science Instructor information

See Pepperell, MA salary details

$13.9K

$60.3K

$103.3K

How much do data science instructor jobs pay per year?

As of Aug 1, 2026, the average yearly pay for data science instructor in Pepperell, MA is $60,339.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,700.00 and $68,900.00 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 in the Data Science Instructor position, and why are they important?

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 job?

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 popular job titles related to Data Science Instructor jobs in Pepperell, MA? For Data Science Instructor jobs in Pepperell, MA, the most frequently searched job titles are:
What cities near Pepperell, MA are hiring for Data Science Instructor jobs? Cities near Pepperell, MA with the most Data Science Instructor job openings:
Infographic showing various Data Science Instructor job openings in Pepperell, MA as of July 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, 1% Temporary, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $60,339 per year, or $29 per hour.

Adjunct Instructor in Data Engineering and Cloud Pipelines

Brandeis University

Waltham, MA

$6.5K/mo

Full-time

Re-posted 13 days ago


Job description

Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 115 Data Engineering and Cloud Pipelines for the Fall 1 2026 session. This 3-credit asynchronous online course is an 8-week requirement for the Master of Science in Applied Data Science and Decision Analytics.

This course will explore concepts of data architecture, ETL/ELT design, and streaming analytics. Includes modules on sustainable data centers and carbon-efficient computation.

Core Course Responsibilities Summary

  • Course Logistics and Facilitation: Focuses on the organized and timely rollout of course content, maintaining consistent communication through weekly announcements, and ensuring all instructional activities occur within university-approved digital platforms.

  • Instructor Presence and Engagement: Centers on building an active teaching persona by hosting live introductory sessions, facilitating weekly academic discourse in forums, and maintaining regular availability for student consultation.

  • Individual Feedback and Grading: Emphasizes the professional obligation to provide transparent, rubric-based evaluations and supportive commentary on student work within a standardized weekly timeframe.

  • Professional Conduct and Standards: Requires adherence to university communication protocols, the promotion of respectful online "netiquette," and ensuring the course meets accessibility and technical visibility standards before and during the term.

Qualifications:

  • Required:

    • Advanced degree (Masters or Ph.D) in Computer Science, Data Science, Information Systems, Software Engineering, or related fieldIndustry Experience: Building or Managing Cloud Data Platforms. 

    • Experience in Data Engineering and Cloud-Based Data Pipelines, including data architecture and data reliability.

    • At least 1 year of teaching or training experience (preferably online/asynchronous)

    • Experience with online instruction

    • Excellent communication and teaching skills in an online learning environment.

  • Preferred:

    • Prior online teaching experience at the graduate level 

    • Knowledge of global learner personas and culturally responsive pedagogy

    • Familiarity with Moodle LMS and digital authoring tools (e.g., H5P)

Interested candidates should submit:

A cover letter highlighting relevant qualifications and teaching experience.

A current CV or resume.

Contact information for three professional references.

Application review begins 5/27/2026 though we will continue to accept submissions on an ongoing basis.

This appointment is to a position that is in a collective bargaining unit represented by SEIU Local 509.

Compensation for this position is $6573.15

Pay Range Disclosure

The University\'s pay ranges represent a good faith estimate of what Brandeis reasonably expects to pay for a position at the time of posting. The pay offered to a selected candidate during hiring will be based on factors such as (but not limited to) the scope and responsibilities of the position, the candidate\'s work experience and education/training, internal peer equity, and applicable legal requirements.

Equal Opportunity Statement

Brandeis University is an equal opportunity employer which does not discriminate against any applicant or employee on the basis of race, color, ancestry, religious creed, gender identity and expression, national or ethnic origin, sex, sexual orientation, pregnancy, age, genetic information, disability, caste, military or veteran status or any other category protected by law (also known as membership in a "protected class").