University of San Francisco: Assistant Professor, Master of Science in Analytics Program

Seeking a candidate to teach graduate courses in the Analytics Program and may also teach undergraduate courses in Data Science.

At: University of San FranciscoUniversity of San Francisco
Location: San Francisco, CA
Position: Assistant Professor, Master of Science in Analytics Program

Apply online.

Job Summary:

The Analytics Program at the University of San Francisco invites candidates to apply for a tenure-track Assistant Professor position to begin August 2018. Candidates with significant and demonstrated excellence in teaching and research as well as an interest in a leadership role in the Analytics Program will be highly considered.

The MSAN program includes state of the art education in data science and bridges knowledge-to-practice through a 9-month practicum that provides students the opportunity to be mentored and solve important data science problems with companies like Under Armour, Eventbrite, Mozilla, and ZipCar. Faculty in the MSAN program are also supported by University of San Francisco’s Data Institute which exists to strengthen the connection between academia and industry; advance data science research; build and foster an inclusive data science community; and train the next generation of data scientists.

The position is open to Ph.D. graduates in the fields of analytics and data science. Areas of interest include but are not limited to applied mathematics, statistics, computer science, engineering, and operations research. Relevant research areas include applied probability, applied and theoretical statistics, statistical and machine learning, deep learning, data mining, natural language processing, distributed computing, network analysis, graphical models, and signal processing, among others. The candidate will be primarily expected to support the graduate program in analytics and data science, but duties may also include supporting the undergraduate program in data science.

Job responsibilities:

The successful candidate will be expected to teach graduate courses in the Analytics Program, to engage in service to the program and college, as well as maintain an active research program that involves students when possible. Close interaction between students, faculty and industry is a hallmark of the Analytics Program. The position will include practicum partner recruitment as well as practicum mentoring and duties with our industry partners. As such, special consideration will be given to candidates with industry experience in the field of data science and analytics.

Minimum Qualifications:

Applicants must have a Ph.D. in a field related to Analytics earned by August 2018. This position requires a commitment to excellence in teaching within a culturally diverse environment.  In addition, a strong record of teaching at the university level, evidence of scholarship, and an understanding of and commitment to support the mission of the University of San Francisco are required.

Candidates should submit a letter of application, curriculum vitae, statements of teaching philosophy and research plans, teaching evaluations, graduate transcripts, and three letters of recommendation.  All of the above elements are required to complete your application.

Completed applications must be submitted online at  Review of completed applications will begin on December 15, 2017 and will continue until the position is filled.  

We invite candidates to find out more about the analytics program at  Questions regarding this search may be emailed to

The University of San Francisco is a private Jesuit institution located in the heart of one of the world’s most innovative and diverse cities, and is home to a vibrant academic community of students and faculty who achieve excellence in their fields. Its diverse student body enjoys direct access to faculty, small classes and outstanding opportunities in the city itself.

The University of San Francisco is an Equal Opportunity and Affirmative Action Employer.  The university does not discriminate in employment, educational services, or academic programs on the basis of an individual’s race, color, religion, religious creed, ancestry, national origin, age (except minors), sex, gender identity, sexual orientation, marital status, medical condition (cancer-related and genetic-related), disability, or other bases prohibited by law, and will provide reasonable accommodations to individuals with disabilities upon request.  We particularly encourage minority and women applicants for all positions.

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