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Online Statistics Instructor Jobs in Dedham, MA (NOW HIRING)

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Online Statistics Instructor information

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$34.4K

$61.2K

$122.2K

How much do online statistics instructor jobs pay per year?

As of Aug 19, 2026, the average yearly pay for online statistics instructor in Dedham, MA is $61,181.00, according to ZipRecruiter salary data. Most workers in this role earn between $45,200.00 and $66,800.00 per year, depending on experience, location, and employer.

What is an online statistics instructor?

An Online Statistics Instructor is responsible for teaching statistics courses in a virtual environment. They develop lesson plans, create instructional materials, and engage students through online platforms. Their duties may include delivering lectures, grading assignments, and providing support to students. They often use video conferencing, discussion boards, and interactive tools to facilitate learning. Strong communication skills and expertise in statistical concepts are essential for this role.

What are the typical daily responsibilities of an online statistics instructor?

As an Online Statistics Instructor, your daily tasks often include developing and updating course materials, delivering virtual lectures or tutorials, and grading assignments or exams. You will also provide one-on-one or group support through email, discussion boards, or video conferencing, and may participate in faculty meetings or professional development sessions. Additionally, you are expected to monitor student progress, offer timely feedback, and adapt your teaching methods to address diverse learning needs. Collaboration with colleagues to improve curriculum or share best practices is also common in this role.

What are the key skills and qualifications needed to thrive as an online statistics instructor?

To thrive as an Online Statistics Instructor, you need a solid background in statistics, mathematics, and instructional design, typically evidenced by an advanced degree in statistics or a related field. Familiarity with online learning platforms, statistical software (such as R, SPSS, or SAS), and relevant teaching certifications are highly valuable. Strong communication, adaptability, and time management skills help instructors engage diverse learners and manage virtual classrooms effectively. These competencies are critical for delivering clear, effective instruction and supporting student success in a remote learning environment.

What job categories do people searching Online Statistics Instructor jobs in Dedham, MA look for?

The top searched job categories for Online Statistics Instructor jobs in Dedham, MA are:

What cities near Dedham, MA are hiring for Online Statistics Instructor jobs?

Cities near Dedham, MA with the most Online Statistics Instructor job openings:

Online Statistics Instructor jobs near you

Adjunct Instructor in Time Series Forecasting and Operational Analytics

Brandeis University

Waltham, MA • On-site

$6.5K/mo

Part-time

Re-posted 29 days ago

Job description

Brandeis University's Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 135 Time Series Forecasting and Operational Analytics for the Fall-2 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 cover predictive modeling and forecasting under uncertainty, including ARIMA, Prophet, and deep learning approaches for sustainable operations.
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 Statistics, Operational Research, Data Science or a related field.
    • Professional experience applying forecasting methods to operational demands, planning, or in sustainability contexts.
    • Expertise in time series analysis and forecasting under uncertainty, including ARMIA and modern machine learning approach.
    • 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 June 1, 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 positon 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").

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