Adjunct Instructor in Applied Data Science and Decision Analytics

Brandeis University • Waltham, MA

5d • Remote

About The Position

Brandeis University’s Online Applied Data Science and Decision Analytics Program is seeking an Adjunct Faculty member for RADS 100 Foundations of Applied Data Science and Decision Analytics 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 introduce the data lifecycle, reproducible workflows, and ethical communication of analytical insights. Students learn to structure analytic questions, organize projects in collaborative repositories, and communicate uncertainty effectively.

Requirements

• Advanced degree (Master's or Ph.D) in Computer Science, Analytics, Strategic Analytics, Strategic Leadership, Information Design, Data Science, Software Engineering, or related field.
• Experience using BI and visual analytics tools in industry or consulting contexts.
• Experience in data science and decision analytics, including data lifecycle
• Demonstrate ability to frame data problems and decision-focused questions, and to implement collaborative, version-controlled analysis.
• Experience in business intelligence, data visualization, and analytics storytelling, with the ability to translate insights into strategic actions.
• 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.

Nice To Haves

• 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)
• Familiarity with SQL, Python, and/or R.

Responsibilities

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

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level