bluedoor data·Job Postings API·bluedoor.sh ↗

HomeCompaniesColumbiauniversity1Adjunct 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

FieldValue
CompanyColumbiauniversity1
TitleAdjunct Associate Faculty, Applied Machine Learning I (On-Campus, Fall '26)
Normalized title-
Department / teamApplied Analytics
LocationNew York, NY, United States
Work model-
Employment typePart Time
Salary$2,000–$3,000 / year
Statusactive
ATS providerSmartRecruiters
Posted / first seen2026-02-27 / 2026-05-31
Changed / last seen2026-05-31 / 2026-06-06

Related slices

PageWhat it containsOpen
Company jobsActive postings from Columbiauniversity1.Open
Company breakdownsRole, location, ATS, and work model facets for this company.Open
ATS provider jobsActive postings observed through SmartRecruiters.Open
Provider filtered searchThe same provider as a filtered job collection.Open
City jobsActive postings in New York.Open
Department jobsActive postings in Applied Analytics.Open
Lifecycle eventsOpen, update, close, and reopen events for this posting.Open
Original postingCanonical source or apply URL captured from the ATS.Open

Linked records

CompanyColumbiauniversity1
Source252db8b6-df89-482b-953f-2d4f2f975720
ATS providerSmartRecruiters

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

Job IDd5200a2d05e35f52caeb825757e441b4054af5b9
Org ID223130e3-59f2-46de-a88c-89229a25e8c2
Source ID252db8b6-df89-482b-953f-2d4f2f975720
Board ID252db8b6-df89-482b-953f-2d4f2f975720
Providersmartrecruiters
Provider Job Key744000111913270
TitleAdjunct Associate Faculty, Applied Machine Learning I (On-Campus, Fall '26)
Normalized Title
Statusactive
Activeyes
Location TextNew York, NY, United States
DepartmentApplied Analytics
Team
Employment Typepart_time
Workplace Type
Remote Policy
CountryUnited States
RegionNY
CityNew York
Salary RawColumbia 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 Min2,000
Salary Max3,000
Salary CurrencyUSD
Salary Periodyear
Source URLhttps://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111913270-adjunct-associate-faculty-applied-machine-learning-i-on-campus-fall-26-
Apply URLhttps://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111913270-adjunct-associate-faculty-applied-machine-learning-i-on-campus-fall-26-?oga=true
First Seen At2026-05-31 17:36:11Z
Last Seen At2026-06-06 19:41:36Z
Last Checked At2026-06-06 19:41:36Z
Last Changed At2026-05-31 17:36:11Z
Inactive At
Source Posted At2026-02-27 18:20:05Z
Source Updated At
Raw Payload Uris3://job-postings-prod-raw-590183727216/raw/provider=smartrecruiters/board=columbiauniversity1/date=2026-06-06/2026-06-06T19-41-30-851Z-20a34eae43ceee4fdc40a938c901dd77121f850d242397beae458f49d7707da8.json
Event Fields
{
  "content_hash": "9441998b853ce630e5703d3851afe46902274be76bb7b62a03599f73cc34843a",
  "source_hash": "b86b44aabf86bee496f309aba94607605799c789294f6e412bdf23730b7470e8",
  "last_changed_at": "2026-05-31T17:36:11.977Z",
  "active_status": "active"
}
Parsed Structured
{
  "language": "en",
  "location": {
    "raw": "New York, NY, United States",
    "city": "New York",
    "region": "NY",
    "country": "United States",
    "is_remote": false,
    "confidence": 0.8
  },
  "salary_max": 3000,
  "salary_min": 2000,
  "inferred_at": "2026-06-06T19:41:36.095Z",
  "launch_scope": {
    "reason": "english_us_canada",
    "included": true,
    "language": "en",
    "location": {
      "raw": "New York, NY, United States",
      "city": "New York",
      "region": "NY",
      "country": "United States",
      "is_remote": false,
      "confidence": 0.8
    },
    "countries": [
      "United States"
    ]
  },
  "remote_policy": null,
  "salary_period": "year",
  "workplace_type": null,
  "salary_currency": "USD"
}
Extensions
{}
Native Structured
{
  "id": "744000111913270",
  "ref": "https://api.smartrecruiters.com/v1/companies/columbiauniversity1/postings/744000111913270",
  "name": "Adjunct Associate Faculty, Applied Machine Learning I (On-Campus, Fall '26)",
  "uuid": "5a09729d-0288-47f7-af94-982a9d2640da",
  "detail": {
    "id": "744000111913270",
    "name": "Adjunct Associate Faculty, Applied Machine Learning I (On-Campus, Fall '26)",
    "uuid": "5a09729d-0288-47f7-af94-982a9d2640da",
    "jobAd": {
      "sections": {
        "jobDescription": {
          "text": "<p>The School of Professional Studies seeks a data analytics professional&#xa0;to serve as a part-time&#xa0;<strong>Associate&#xa0;</strong>for a graduate-level course&#xa0;called&#xa0;<strong><em>Applied&#xa0;Analytics Frameworks &amp; Methods I</em>.&#xa0;</strong></p><ul><li>The world is generating data at an even faster pace via&#xa0;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&#xa0;<strong><em>course then covers an array of supervised learning techniques, including linear regression, decision trees, and support vector machines.&#xa0;</em></strong>Students also have the opportunity to challenge themselves in applying and combining the techniques they have learned through a predictive analytics competition.</li></ul><p>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.</p><p><strong><em>Responsibilities</em></strong></p><ul><li>Attend all class sessions, assist with instruction, lead breakout sessions, facilitate discussions.</li><li>Evaluate, grade student work and assessments as requested by the course Lecturer.</li><li>Monitor and address student concerns and inquiries.</li></ul><ul></ul>",
          "title": "Job Description"
        },
        "qualifications": {
          "text": "<p>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.&#xa0;</p><p><strong><em>Requirements</em></strong></p><ul><li>Graduate degree&#xa0;in an area&#xa0;related to data science, applied analytics, statistics, or another quantitative discipline.</li><li>Proficient in Python programming.</li><li>3+ years of professional experience in a role involving&#xa0;applied analytics.</li></ul><p><em><strong>Preferred Skills &amp; Experience</strong></em></p><ul><li>Knowledge of theories and practical application of machine learning.</li><li>University teaching experience.</li></ul>",
          "title": "Qualifications"
        },
        "companyDescription": {
          "text": "<p><strong>Columbia University</strong> has been a leader in higher education in the nation and around the world for&#xa0;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.<br>\n<br>\nThe <strong>School of Professional Studies at Columbia University</strong>&#xa0;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.</p>",
          "title": "Company Description"
        },
        "additionalInformation": {
          "text": "<p><strong>Salary range:</strong>&#xa0;$2,000 - $3,000 per semester long course<br>\n<br>\nPlease submit a resume inclusive of university teaching experience.</p><p><strong><em>All your information will be kept confidential according to EEO guidelines.</em></strong></p><p><strong><em>Columbia University is an Equal Opportunity Employer / Disability / Veteran</em></strong></p>",
          "title": "Additional Information"
        }
      }
    },
    "jobId": "d0c6fd5f-8f5c-4398-a416-c3c11288e4f6",
    "active": true,
    "company": {
      "name": "Columbia University",
      "identifier": "ColumbiaUniversity1"
    },
    "creator": {
      "name": "",
      "avatarUrl": ""
    },
    "jobAdId": "40c65c41-7626-4f08-9ab1-3854f0c722e4",
    "applyUrl": "https://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111913270-adjunct-associate-faculty-applied-machine-learning-i-on-campus-fall-26-?oga=true",
    "function": {
      "id": "analyst",
      "label": "Analyst"
    },
    "industry": {
      "id": "higher_education",
      "label": "Higher Education"
    },
    "language": {
      "code": "en",
      "label": "English",
      "labelNative": "English (US)"
    },
    "location": {
      "city": "New York",
      "hybrid": false,
      "region": "NY",
      "remote": false,
      "country": "us",
      "latitude": "40.7127753",
      "longitude": "-74.0059728",
      "fullLocation": "New York, NY, United States"
    },
    "refNumber": "REF1313Q",
    "department": {
      "id": 1068780,
      "label": "Applied Analytics"
    },
    "postingUrl": "https://jobs.smartrecruiters.com/ColumbiaUniversity1/744000111913270-adjunct-associate-faculty-applied-machine-learning-i-on-campus-fall-26-",
    "visibility": "PUBLIC",
    "customField": [
      {
        "fieldId": "5fff0898d102e3515e48905d",
        "fieldLabel": "Course Number",
        "valueLabel": "5400"
      },
      {
        "fieldId": "5ad88b18b60a5e486a2d9efa",
        "valueId": "3bbef67b-e16f-420a-a14b-df988359c43f",
        "fieldLabel": "Employee Job Category",
        "valueLabel": "Faculty Job"
      },
      {
        "fieldId": "5ad9ffd26d8bc56863dd9b7a",
        "valueId": "a01a9441-a122-48d3-8407-45f2155e4fd4",
        "fieldLabel": "Term",
        "valueLabel": "2026 FALL"
      },
      {
        "fieldId": "COUNTRY",
        "valueId": "us",
        "fieldLabel": "Country/Region",
        "valueLabel": "United States"
      },
      {
        "fieldId": "5a945d216d8bc505a492dc8e",
        "valueId": "default",
        "fieldLabel": "Brands",
        "valueLabel": "Columbia University"
      },
      {
        "fieldId": "5abbec096d8bc56863dd96eb",
        "valueId": "2a3b82a0-423d-4062-8348-d4350b7943dd",
        "fieldLabel": "Role",
        "valueLabel": "Associate, Part-time"
      },
      {
        "fieldId": "5a945d216d8bc505a492dc8f",
        "valueId": "1068780",
        "fieldLabel": "Department",
        "valueLabel": "Applied Analytics"
      },
      {
        "fieldId": "5ab2b7b9b60a5e2f7b2c5b2e",
        "valueId": "9a8ca717-4cdc-408a-a528-a1d282c58b19",
        "fieldLabel": "Division",
        "valueLabel": "Masters"
      },
      {
        "fieldId": "5ab2b7766d8bc519b1d9db9d",
        "valueId": "ce0cf7f9-c606-43be-b2ea-374fac2c7fd7",
        "fieldLabel": "Program",
        "valueLabel": "Applied Analytics"
      },
      {
        "fieldId": "5ada008db60a5e486a2d9f4b",
        "valueId": "0c6291f7-c010-4b09-9d2a-5471b248fb56",
        "fieldLabel": "Academic Program",
        "valueLabel": "APAN"
      },
      {
        "fieldId": "5ab3bcdab60a5e2f7b2c5b5c",
        "valueId": "6b516b3e-9a6c-4f1e-8591-f59a3aa5b980",
        "fieldLabel": "Course Modality",
        "valueLabel": "On Campus"
      },
      {
        "fieldId": "6005f3a3e57517446f4f2d3b",
        "fieldLabel": "Section Number",
        "valueLabel": "001"
      }
    ],
    "referralUrl": "https://jobs.smartrecruiters.com/external-referrals/company/ColumbiaUniversity1/publication/5a09729d-0288-47f7-af94-982a9d2640da?dcr_ci=ColumbiaUniversity1",
    "defaultJobAd": true,
    "releasedDate": "2026-02-27T18:20:05.184Z",
    "experienceLevel": {
      "id": "associate",
      "label": "Associate"
    },
    "typeOfEmployment": {
      "id": "part-time",
      "label": "Part-time"
    }
  },
  "company": {
    "name": "Columbia University",
    "identifier": "ColumbiaUniversity1"
  },
  "jobAdId": "40c65c41-7626-4f08-9ab1-3854f0c722e4",
  "function": {
    "id": "analyst",
    "label": "Analyst"
  },
  "industry": {
    "id": "higher_education",
    "label": "Higher Education"
  },
  "language": {
    "code": "en",
    "label": "English",
    "labelNative": "English (US)"
  },
  "location": {
    "city": "New York",
    "hybrid": false,
    "region": "NY",
    "remote": false,
    "country": "us",
    "latitude": "40.7127753",
    "longitude": "-74.0059728",
    "fullLocation": "New York, NY, United States"
  },
  "refNumber": "REF1313Q",
  "department": {
    "id": "1068780",
    "label": "Applied Analytics"
  },
  "visibility": "PUBLIC",
  "customField": [
    {
      "fieldId": "5ad88b18b60a5e486a2d9efa",
      "valueId": "3bbef67b-e16f-420a-a14b-df988359c43f",
      "fieldLabel": "Employee Job Category",
      "valueLabel": "Faculty Job"
    },
    {
      "fieldId": "5ad9ffd26d8bc56863dd9b7a",
      "valueId": "a01a9441-a122-48d3-8407-45f2155e4fd4",
      "fieldLabel": "Term",
      "valueLabel": "2026 FALL"
    },
    {
      "fieldId": "COUNTRY",
      "valueId": "us",
      "fieldLabel": "Country/Region",
      "valueLabel": "United States"
    },
    {
      "fieldId": "5a945d216d8bc505a492dc8e",
      "valueId": "default",
      "fieldLabel": "Brands",
      "valueLabel": "Columbia University"
    },
    {
      "fieldId": "5abbec096d8bc56863dd96eb",
      "valueId": "2a3b82a0-423d-4062-8348-d4350b7943dd",
      "fieldLabel": "Role",
      "valueLabel": "Associate, Part-time"
    },
    {
      "fieldId": "5a945d216d8bc505a492dc8f",
      "valueId": "1068780",
      "fieldLabel": "Department",
      "valueLabel": "Applied Analytics"
    },
    {
      "fieldId": "5ab2b7b9b60a5e2f7b2c5b2e",
      "valueId": "9a8ca717-4cdc-408a-a528-a1d282c58b19",
      "fieldLabel": "Division",
      "valueLabel": "Masters"
    },
    {
      "fieldId": "5ab2b7766d8bc519b1d9db9d",
      "valueId": "ce0cf7f9-c606-43be-b2ea-374fac2c7fd7",
      "fieldLabel": "Program",
      "valueLabel": "Applied Analytics"
    },
    {
      "fieldId": "5ada008db60a5e486a2d9f4b",
      "valueId": "0c6291f7-c010-4b09-9d2a-5471b248fb56",
      "fieldLabel": "Academic Program",
      "valueLabel": "APAN"
    },
    {
      "fieldId": "5ab3bcdab60a5e2f7b2c5b5c",
      "valueId": "6b516b3e-9a6c-4f1e-8591-f59a3aa5b980",
      "fieldLabel": "Course Modality",
      "valueLabel": "On Campus"
    },
    {
      "fieldId": "5fff0898d102e3515e48905d",
      "fieldLabel": "Course Number",
      "valueLabel": "5400"
    },
    {
      "fieldId": "6005f3a3e57517446f4f2d3b",
      "fieldLabel": "Section Number",
      "valueLabel": "001"
    }
  ],
  "defaultJobAd": true,
  "releasedDate": "2026-02-27T18:20:05.184Z",
  "detail_errors": [],
  "experienceLevel": {
    "id": "associate",
    "label": "Associate"
  },
  "typeOfEmployment": {
    "id": "part-time",
    "label": "Part-time"
  }
}
Get this page with API

Rendered from the bluedoor Job Postings API. Reproduce it:

GET https://api.bluedoor.sh/job-postings/v1/jobs/d5200a2d05e35f52caeb825757e441b4054af5b9?include=descriptionJSON
GET https://api.bluedoor.sh/job-postings/v1/orgs/223130e3-59f2-46de-a88c-89229a25e8c2JSON
GET https://api.bluedoor.sh/job-postings/v1/sources/252db8b6-df89-482b-953f-2d4f2f975720JSON
GET https://api.bluedoor.sh/job-postings/v1/jobs/d5200a2d05e35f52caeb825757e441b4054af5b9/eventsJSON