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Adjunct Lecturer, Solving Real World Problems with Analytics (ONLINE - Summer/Fall '26)

Columbia University · Remote, New York, United States

Data Science / AI / Machine LearningSenior LevelRemoteQuick applypart-time26 days ago

About The Role

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.

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.

Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty that have outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. 

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.

Preferred Skills & Experience

  • 2+ years of teaching experience, ideally at the graduate level.
  • Salary range:  $11,000 - $13,000 per semester long course
  • Please submit a resume inclusive of university teaching experience.
  • All your information will be kept confidential according to EEO guidelines.
  • Columbia University is an Equal Opportunity Employer / Disability / Veteran

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