Home › Companies › Columbiauniversity1 › Adjunct Associate Faculty, Applied Machine Learning I (On-Campus, Fall '26)
Adjunct Associate Faculty, Applied Machine Learning I (On-Campus, Fall '26)
Columbiauniversity1 · New York, NY, United States · Active · $2,000–$3,000 / year · SmartRecruiters
Job facts
| Field | Value |
|---|---|
| Company | Columbiauniversity1 |
| Title | Adjunct Associate Faculty, Applied Machine Learning I (On-Campus, Fall '26) |
| Normalized title | - |
| Department / team | Applied Analytics |
| Location | New York, NY, United States |
| Work model | - |
| Employment type | Part Time |
| Salary | $2,000–$3,000 / year |
| Status | active |
| ATS provider | SmartRecruiters |
| Posted / first seen | 2026-02-27 / 2026-05-31 |
| Changed / last seen | 2026-05-31 / 2026-06-06 |
Related slices
| Page | What it contains | Open |
|---|---|---|
| Company jobs | Active postings from Columbiauniversity1. | Open |
| Company breakdowns | Role, location, ATS, and work model facets for this company. | Open |
| ATS provider jobs | Active postings observed through SmartRecruiters. | Open |
| Provider filtered search | The same provider as a filtered job collection. | Open |
| City jobs | Active postings in New York. | Open |
| Department jobs | Active postings in Applied Analytics. | Open |
| Lifecycle events | Open, update, close, and reopen events for this posting. | Open |
| Original posting | Canonical source or apply URL captured from the ATS. | Open |
Linked records
| Company | Columbiauniversity1 |
| Source | 252db8b6-df89-482b-953f-2d4f2f975720 |
| ATS provider | SmartRecruiters |
Description
Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society.
The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good.
The School of Professional Studies seeks a data analytics professional to serve as a part-time Associate for a graduate-level course called Applied Analytics Frameworks & Methods I .
The world is generating data at an even faster pace via business transactions, online searches, social media activities, and various sensors. The ready availability of vast amounts of data creates opportunities to predict outcomes and explain phenomena across a wide range of domains from medicine to business to even space exploration. Supervised learning techniques are being extensively used to make useful predictions and generate insights to tackle problems. These predictive analysis techniques focus on this course, guiding students through the data-wrangling process, starting with data exploration and other foundational approaches. The course then covers an array of supervised learning techniques, including linear regression, decision trees, and support vector machines. Students also have the opportunity to challenge themselves in applying and combining the techniques they have learned through a predictive analytics competition. An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University.
Responsibilities
Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. Evaluate, grade student work and assessments as requested by the course Lecturer. Monitor and address student concerns and inquiries.
Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting.
Requirements
Graduate degree in an area related to data science, applied analytics, statistics, or another quantitative discipline. Proficient in Python programming. 3+ years of professional experience in a role involving applied analytics. Preferred Skills & Experience
Knowledge of theories and practical application of machine learning. University teaching experience.
Salary range: $2,000 - $3,000 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
Full job record
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| Board ID | 252db8b6-df89-482b-953f-2d4f2f975720 |
| Provider | smartrecruiters |
| Provider Job Key | 744000111913270 |
| Title | Adjunct Associate Faculty, Applied Machine Learning I (On-Campus, Fall '26) |
| Normalized Title | — |
| Status | active |
| Active | yes |
| Location Text | New York, NY, United States |
| Department | Applied Analytics |
| Team | — |
| Employment Type | part_time |
| Workplace Type | — |
| Remote Policy | — |
| Country | United States |
| Region | NY |
| City | New York |
| Salary Raw | Columbia University has been a leader in higher education in the nation and around the world for more than 250 years. At the core of our wide range of academic inquiry is the commitment to attract and engage the best minds in pursuit of greater human understanding, pioneering new discoveries, and service to society. The School of Professional Studies at Columbia University offers innovative and rigorous programs that integrate knowledge across disciplinary boundaries, combine theory with practice, leverage the expertise of our students and faculty, and connect global constituencies. Through twenty professional master's degrees, courses for advancement and graduate school preparation, certificate programs, summer courses, high school programs, and a program for learning English as a second language, the School of Professional Studies transforms knowledge and understanding in service of the greater good. The School of Professional Studies seeks a data analytics professional to serve as a part-time Associate for a graduate-level course called Applied Analytics Frameworks & Methods I . The world is generating data at an even faster pace via business transactions, online searches, social media activities, and various sensors. The ready availability of vast amounts of data creates opportunities to predict outcomes and explain phenomena across a wide range of domains from medicine to business to even space exploration. Supervised learning techniques are being extensively used to make useful predictions and generate insights to tackle problems. These predictive analysis techniques focus on this course, guiding students through the data-wrangling process, starting with data exploration and other foundational approaches. The course then covers an array of supervised learning techniques, including linear regression, decision trees, and support vector machines. Students also have the opportunity to challenge themselves in applying and combining the techniques they have learned through a predictive analytics competition. An Associate is a faculty line junior to a Lecturer that provides subject matter expertise and supports the instructional process for a course section. Serving as an Associate is an outstanding way to gain exposure to graduate-level teaching at Columbia University. Responsibilities Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions. Evaluate, grade student work and assessments as requested by the course Lecturer. Monitor and address student concerns and inquiries. Columbia University SPS operates under a scholar-practitioner faculty model, which enables students to learn from faculty possessing outstanding academic training as well as a record of accomplishment as practitioners in an applied industry setting. Requirements Graduate degree in an area related to data science, applied analytics, statistics, or another quantitative discipline. Proficient in Python programming. 3+ years of professional experience in a role involving applied analytics. Preferred Skills & Experience Knowledge of theories and practical application of machine learning. University teaching experience. Salary range: $2,000 - $3,000 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 |
| Salary Min | 2,000 |
| Salary Max | 3,000 |
| Salary Currency | USD |
| Salary Period | year |
| Source URL | https://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111913270-adjunct-associate-faculty-applied-machine-learning-i-on-campus-fall-26- |
| Apply URL | https://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111913270-adjunct-associate-faculty-applied-machine-learning-i-on-campus-fall-26-?oga=true |
| First Seen At | 2026-05-31 17:36:11Z |
| Last Seen At | 2026-06-06 19:41:36Z |
| Last Checked At | 2026-06-06 19:41:36Z |
| Last Changed At | 2026-05-31 17:36:11Z |
| Inactive At | — |
| Source Posted At | 2026-02-27 18:20:05Z |
| Source Updated At | — |
| Raw Payload Uri | s3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=columbiauniversity1/date=2026-06-06/2026-06-06T19-41-30-851Z-20a34eae43ceee4fdc40a938c901dd77121f850d242397beae458f49d7707da8.json |
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