"Assistant/Associate Adjunct Faculty in Business Analytics and Data Science - DATA 410 Natural Language Processing - Fall Semester 2025"

Founded in 1863, Saint Mary's is a residential campus nestled 20 miles east of San Francisco in the picturesque Moraga Valley. Based in the Catholic, Lasallian and Liberal Arts traditions, Saint Mary's currently enrolls more than 4,000 students from diverse backgrounds in undergraduate and graduate programs. The De La Salle Christian Brothers, the largest teaching order of the Roman Catholic Church, guide the spiritual and academic character of the College.

As a comprehensive and independent institution, Saint Mary's offers undergraduate and graduate programs integrating liberal and professional education. Saint Mary's reputation for excellence, innovation, and responsiveness in education stems from its vibrant heritage as a Catholic, Lasallian and Liberal Arts institution. An outstanding, committed faculty and staff that value shared inquiry, integrative learning, and student interaction bring these traditions to life in the 21st century. The College is committed to the educational benefits of diversity.

Qualifications:

DATA 410, Natural Language Processing

Undergraduate Fall Semester, 8/25/2025 - 12/14/2025, TTH 3:20 PM - 5:00 PM

Moraga Campus

This course is intended as a practical introduction to the most widely used techniques, strategies and toolkits for natural language processing. The text classification task is one of the most popular tasks that we deal with in real life. We use it in classifying news, spam filtering, sentiment analysis, etc. You will learn how to go from raw texts to predicted classes both with traditional methods (e.g. Linear Classifiers) and deep learning techniques (e.g. Convolutional Neural Nets). In addition, you will learn how to treat texts as a sequence of words, which is called the language modeling task in NLP. In particular, how to predict next words given some previous words. This is used for suggestions in searches, machine translation, chatbots, and so on. Finally, students will learn about vectors that represent meanings using modern tools for word and sentence embeddings, such as word2vec and will discuss how to embed the whole documents with topic models.

Qualifications

• Ph.D. degree in Business Analytics or a closely related field and a recent publication record in the field, OR
• A Master's degree in Business Analytics or a closely related field and five years of current, relevant professional experience.
• Candidates should have a successful record of teaching experience at the undergraduate level and experience/familiarity with online/hybrid instruction to prepare for contingencies. This position requires all course work to be performed in the state of California. Candidates must perform all course-related work within the state of California.

Salary: $6,480 and $10,308 dependent on qualifications. The salary range for this position is covered by the Collective Bargaining Agreement between the College and SEIU, Local 1021, who have previously taught the course or DATA 152, available here.