Assistant Professor in Data Science

University is to educate leaders for a global society who are strong in character and judgment, confident in their identity and vocation, and committed to service and justice. Founded in 1959 in beautiful Ventura County, the university has an enrollment of about 3,500 undergraduate and graduate students who come from across the nation and around the world from a diversity of backgrounds, cultures and faiths. As a federally recognized Hispanic-Serving Institution, Cal Lutheran is looking for candidates with a dedication to and success in working in diverse communities. The university is committed to an inclusive learning and work environment that values individual differences and respects each person's dignity. Basic Function: Under the direction of the Dean and Math Department Chair, the Assistant Professor is responsible for providing academic instruction to students for the assigned undergraduate courses. The Assistant Professor is to serve as an academic advisor to students; contribute to department and university activities; serve on faculty or university committees; engage in scholarly activities, and/or creative endeavors. The successful candidate will contribute to an inclusive and student-centered learning environment and demonstrate a commitment to supporting the academic success and sense of belonging of students from diverse backgrounds and levels of academic preparation. Representative Duties: • Primary responsibilities for this position include teaching Data Science and Math courses (24 units/year): E • Provide academic instruction to students through lecture courses. Create assignments and activities in one-on-one, classroom, and distance mediated instructional settings for development of cognitive abilities, communication skills, and higher order thinking skills among students. E • Observe and evaluate student performance in meeting course objectives and student learning outcomes through assignments, projects, discussions, and examinations; provide feedback in a timely manner to student inquiries in class, online, or during established consultation office hours. E • Maintain current, accurate records of course enrollment, attendance, student academic progress, course curriculum; prepare and submit grades, data, and reports related to course and student progress in a timely manner. E • Teach and hold office hours in person on campus, at least 4 days per week. E • Provide a course syllabus to students in each class within the first week of the class, as outlined in the faculty handbook. E • Adhere to the responsibilities related to teaching, advising, service, and scholarly, professional, and creative activities for Assistant Professors as outlined in the faculty handbook. E • Adhere to the responsibilities related to teaching, advising, service, and scholarly, professional, and creative activities, as outlined in the faculty handbook. E • Attend and participate on committees and in department, division, campus, and University meetings. E • Evening and weekend hours may be required. E • Performs related duties as assigned. E=Essential Duties E=Essential Duties Knowledge Of: • Current theory and practice within the subject discipline • Principles and best practices of effective teaching • Student learning outcomes and methods of assessment • University curricula • Community and campus resources, services, programs, and professionals available to students • Methods of gathering, analyzing, and preparing data • Modern computing technology • Record keeping techniques with regard to student enrollment, attendance, and progres • Academic and professional societies along with attendance of related conferences, workshops, other activities Ability To: • Demonstrate a thorough and accurate knowledge in Data Science • Deliver student-centered Data Science teaching, including project-based, computational, cross-cutting, and experiential learning • Deliver course curricula in various learning styles • Demonstrate experience with inclusive and equitable teaching, mentoring, and advising practices • Work with and mentor students who are historically underserved, first-generation, students with disabilities, and students who enter college with a range of academic preparation. • Demonstrate current and emerging instructional delivery technologies in the learning process to enhance teaching and the educational experience • Maintain professional standards that protect student confidentiality • Communicate effectively, both orally and in writing using tact, patience, and courtesy • Establish and maintain effective working relationships • Work constructively with their colleagues and to treat faculty, staff, administrators, and students with respect and professionalism • Analyze situations accurately and adopt effective courses of action • Demonstrate commitment to professional excellence and continuous growth within subject field or discipline • Satisfactorily fulfill a faculty member's duties and responsibilities and make significant contributions to the University community. • Teach/mentor historically underserved students and/or first generation students • Demonstrate experience teaching, mentoring, and/or advising undergraduate students from historically underserved populations, including first-generation college students, students with disabilities, and students with diverse academic backgrounds. • Support students with different levels of math/quantitative preparation • Foster environments of belonging and equitable participation Minimum Qualifications: A Ph.D. in Data Science is preferred; terminal degrees in closely aligned fields will also be considered. Relevant fields of study may include Machine Learning, Artificial Intelligence, Predictive Analytics, Applied or Computational Mathematics, Applied or Computational Statistics, or other closely related areas. Candidates who are ABD will also be considered and, if selected, will be appointed at the rank of Instructor. Preferred Qualifications: Licenses and Other Requirements: None Physical Abilities: Detect to understand appropriate written correspondence; communicate clearly to exchange information in person and via the telephone or video; operate a computer and other office productivity machinery; stationary position for extended periods of time; move or transport light objects; position self to store and/or retrieve files. Working Environment: Indoor classroom environment; subject to visiting a variety of classroom sites on campus. Hiring Range $73,000 - $82,000 Posting Number: Faculty001312020 Open Date: 09/16/2026 Close Date: 11/22/2026 Application Procedure/Special Instructions Please include the following materials with your application: 1. Cover Letter: Please tell us about yourself and explain how you meet the qualifications for the position. Please also describe how you plan to support the mission and Hispanic-Serving Institution designation of California Lutheran University. Two pages maximum. 2. Curriculum Vitae or Resume: Please provide a curriculum vitae or resume detailing your educational background, professional experience, teaching experience, publications, service, appointments or positions, honors, awards, and other relevant accomplishments. 3. Please include a list of professional references whom the University may contact. 4. Statement of Teaching: Please discuss the relevant courses they've taken, along with and other experiences, that have prepared them to teach an encompassing selection of data science courses. 5. Statement of Research: Please describe your program of research, noting any work completed in collaboration with undergraduate students. If you have not previously conducted research with undergraduate students, please describe your plans for future scholarship and student collaboration. Two pages maximum. 6. Inclusive Excellence Statement (Other): Please speak to your approach to inclusion by providing examples of how you support inclusion, create accessible course content, foster belonging, and promote equitable student success. To apply, visit https://careers.callutheran.edu/postings/13635 California Lutheran University is committed to providing equal opportunity in employment for all persons, regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, marital status, sex, age, sexual orientation, genetic information, gender, gender identity or expression, or any other basis protected by applicable law. No person shall be excluded from participation in, be denied the benefits of, or be subjected to discrimination in any program, activity or facility of the University on the basis of these factors in a manner consistent with applicable federal and state laws, regulations, ordinances, orders and rules, and University's policies, procedures, and processes. Upon request, reasonable accommodations in the application process can be provided to individuals with qualifying disabilities. Please contact the Human Resources Department for further information or to request an accommodation. je-9372a29c8c9e49bfbaa8b92b5f0f120e