ONLINE MS IN DS Learning Facilitator, Office Provost

Overview

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).

Sequence

• 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 Experiment Design & Causality

We seek a candidate who is passionate about delivering a stellar online education experience and a student-centric approach to join our growing OMDS team. 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 upon successful performance in the role.

Reporting to OMDS Program Leadership, the Learning Facilitator (LF) role involves a variety of activities carried out during the delivery of a given module. The goals are to ensure that students receive timely, detailed, and ongoing feedback, consistent with rubrics designed by the Faculty MOD Lead, that student questions and concerns are addressed timely, and that the student learning experience is the best in class within online learning.

This position is 100% remote.

Specific responsibilities include but are not limited to:

• Must possess a conferred bachelors degree. A STEM-related degree is preferred.
• Must be familiar with Data Science concepts including at least one of:
• Experience with Python
• Experience with data science programming in Python including numpy, pandas, scikit-learn, pytorch, matplotlib
• Experience with databases and SQL
• Ideally, experience with big data tech stacks such as map-reduce, spark, etc.
• Experience with machine learning and statistical models such as lasso, ridge, random forests, boosting, neural nets.

(The subject-matter requirement may vary depending on the Mod.)

• 3-5 years of experience
• Must be self-motivated with a start-up mindset towards continuous improvement.
• Ability to effectively collaborate in a remote environment and quickly learn new tools and technologies. Solution-oriented team player with a demonstrated track record of transparency and proactivity in meeting organizational goals.
• Demonstrated interpersonal and customer support skills.
• An effective communicator who is open to giving and receiving constructive feedback.
• Experience managing competing priorities and working with multiple constituencies (i.e.…