ONLINE MS IN DS Learning Facilitator, Office Provost

ONLINE MS IN DS LEARNING FACILITATOR, Office of the Provost

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Job Description

Category:
Charles River Campus → Professional

Job Location:

BOSTON, MA, United States

Posted Date: 1/7/2026

Salary Grade: 47 | Expected Hiring Range: $70,000.00 – $72,000.00

Position Type:
Full‑Time / Regular

The Online Master of Science in Data Science (OMDS) program at Boston University’s Faculty of Computing & Data Sciences is an innovative program (launched in 2024) that brings an integrated graduate data science curriculum to a global learning community h a global population of learners and continued student growth planned, the Learning Facilitator is a critical and valuable member of the teaching team.

The OMDS curriculum is delivered in 10 modules (“MODs”), each providing 3 graduate credits, plus a non‑credit orientation module (Mod
0) and a non‑credit bootcamp (Mod

A). The sequence of modules is:

• A – Data Science Bootcamp
• B – AI for Leaders (completed over semesters 1 and
  2)
• C – AI in the Field Capstone (completed over semesters 3 and
  4)
• 0 – Orientation
• 1 – Mathematical Foundations of Data Science
• 2 – Programming Toolkit for Data Science
• 3 – Machine Learning Fundamentals
• 4 – Data Management at Scale
• 5 – Responsible and Ethical Data Science & AI
• 6 – Advanced Machine Learning & AI
• 7 – Applied Data Science & AI in Diverse Sectors
• 8 – Experimental Design & Causality

We seek a candidate who is passionate about delivering a stellar online education experience and a student‑centric approach. Experience working with non‑traditional students, who are accomplished mid‑level and senior‑level domestic or international professionals, is a plus.

The Learning Facilitator is a valued member of the teaching team and will work closely with the faculty to manage the delivery of the academic content in each module and serve as the main academic touchpoint for the students in the online module. This is a minimum of one‑year appointment with an opportunity for extension beyond the initial year based on successful performance in the role.

• Provide timely support on course content to 50+ students.
• Respond to student questions and concerns promptly and efficiently in alignment with CDS’ student‑centric culture.
• Hold regular online office hours to meet with individual students and teams.
• Participate or lead mod/pod‑wide open office hours as needed.
• Monitor and engage in student discussion forums weekly; manage participation.
• Propose and implement delivery initiatives geared toward student engagement.
• Conduct QA activities as part of module pre‑launch.
• Manage team issues in coordination with Lead Mod Faculty and CDS leadership.
• Grade assignments and provide detailed feedback on their performance.
• Contribute to end‑of‑Mod grading computations as planned by the LF Mod Lead.
• Check late submissions, publish grades, and other daily operations.
• Report post‑launch issues (defects and enhancements related to Mod design or Blackboard) per the established process.
• Share feedback for continuous improvement of course content.
• Perform weekend on‑call duties as necessary; represent the Learning Facilitator MOD team to the broader OMDS delivery team.
• Identify opportunities and define processes to improve operations.
• Provide regular status updates in the team project management dashboard.
• Other relevant duties that support student learning.
• Identify and address competing priorities across multiple constituencies (faculty, students, colleagues, vendors).
• Work an adaptable, flexible schedule including days, evenings, and weekends.

• Conferred bachelor’s degree; STEM‑related degree preferred.
• Familiar with Data Science concepts, including at least one of:
  • Python programming (numpy, pandas, scikit‑learn, pytorch, matplotlib)
  • Data science programming in Python
  • Databases and SQL
  • Big data tech stacks such as Map‑Reduce, Spark, etc.
  • Machine learning and statistical models (lasso, ridge, random forests, boosting, neural nets)
• 3–5 years of experience.
• Self‑motivated with a start‑up mindset toward continuous improvement.
• Effective collaboration in a remote…