Online Adjunct: Time Series Forecasting & Analytics

Brandeis University; United States; Remote; USD 5,900 - 7,200; Full time

Job summary

Brandeis University’s Online Applied Data Science and Decision Analytics Program seeks 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 covers predictive modeling and forecasting under uncertainty, including ARIMA, Prophet, and deep learning for sustainable operations.

The appointment focuses on course logistics, instructor presence, feedback and grading, and adherence to professional

Qualifications

• This appointment is in a collective bargaining unit represented by SEIU Local 509.

Responsibilities

• Course Logistics and Facilitation: Maintains organized rollout of content and communicates through weekly announcements.
• Instructor Presence and Engagement: Hosts live introductory sessions and facilitates weekly forums for student discussion.
• Individual Feedback and Grading: Provides rubric-based evaluations with constructive feedback within weekly timelines.
• Professional Conduct and Standards: Adheres to university protocols and ensures accessibility and technical visibility standards.

Job description

Brandeis University’s Online Applied Data Science and Decision Analytics Program seeks 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 covers predictive modeling and forecasting under uncertainty, including ARIMA, Prophet, and deep learning for sustainable operations.

The appointment focuses on course logistics, instructor presence, feedback and grading, and adherence to professional