Adjunct Lecturer, Solving Real World Problems with Analytics (ONLINE - Summer/Fall '26)
About The Position
Columbia University, School of Professional Studies (SPS) seeks candidates to serve as part-time Lecturers to participate on the faculty team for a graduate level Capstone course: Solving Real World Problems with Analytics. This course is the culminating experience for graduate students in our Applied Analytics Master of Science degree program. Students apply their academic learning to a real-world challenge by participating in a consulting engagement with a leading corporate or institutional project sponsor. Capstone sponsors span industry sectors including finance, healthcare, consumer retail, digital media, non-profit. Sponsors include large global companies, startups, and nonprofits. Lecturers are the primary instructors for courses and an invaluable component of the faculty community.
Requirements
- Doctoral degree in an academic area related to data analytics.
- 7+ years of professional experience in roles related to data analytics.
- Strong technical skills - especially proficiency with R and Python programming.
- Consulting experience, working with either external or internal clients.
Nice To Haves
- 2+ years of teaching experience, ideally at the graduate level.
Responsibilities
- Attend all class sessions. Weekly instructional sessions will be held on one of the following: Wed 6:10-8 PM ET, Thurs 6:10-8 PM ET, Thurs 8:10-10 PM ET.
- Serve as a mentor and coach to students and a liaison with corporate project sponsors. Participate in meetings with sponsor companies & student project team.
- Monitor and address student concerns and inquiries.
- Conduct weekly office hours.
- Serve as a liaison between students and corporate project sponsors. Participate in meetings with sponsor companies & student project teams.
- Evaluate and grade student work and assessments.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Part-time
Education Level
Ph.D. or professional degree
