Open Rank Teaching Professor - Analytics (San Jose)

About the Opportunity

About Northeastern:

Northeastern University is a global, experiential and leading research university, built on a tradition of engagement with business, industry and communities to create a distinctive approach to education, research and service. Northeastern's vibrant Vancouver campus is located right in the heart of the city and offers easy access to leaders in the technology, telecommunications, and consulting sectors. The College of Professional Studies offers innovative and flexible programs that allow adult learners and working professionals to complete their degrees. CPS offers associate, bachelor's degree, certificate programs and post-baccalaureate programs in fast-growing fields such as biotechnology, leadership, business administration, finance, project management, information technology and management. Degrees are delivered in full or part-time formats and courses are offered in a variety of on-campus and online options.

Northeastern University is an Equal Opportunity, Affirmative Action Educational Institution and Employer, Title IX University. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by the law.

The College of Professional Studies is one of ten colleges of Northeastern University, a nationally ranked private research university. Founded in 1960, the College provides lifelong experiential learning that unleashes the capacities of aspiring individuals in all stages and walks of life. The College teaches undergraduate, graduate, and doctoral students on campus and online in more than 90 programs.

About the Opportunity:

Faculty members teach in both in-person and online modalities with a diverse student body. The successful candidate must demonstrate strong teaching abilities, a dedication to continued improvement as an educator, and alignment with the scholar-practitioner model. Experience teaching at the master's level, developing on ground and online courses, and proven success in working with international students are desired attributes.

The successful candidate will demonstrate an understanding of the broader analytics field and will possess experience working in industry in analytics or data science. The ideal candidate will have a record demonstrating their expertise and engagement in analytics as both a practitioner and instructor. Beyond the classroom, the candidate will engage in service to the department, college, and university, as well as professional development.

The position is a full-time, open rank, non-tenure track, renewable appointment located in San Jose, CA.

Responsibilities:

This full-time faculty member is expected to bring their intellectual and creative capacity to bear in advancement of the program, seeking to serve students by participating in a range of teaching and non-teaching activities that support the advancement of the program. They will teach a full teaching load spread throughout the year and will work with the program office on administrative issues and programmatic projects.

Teaching & Curricular Oversight (approximately 80% of time)

• Teach core courses, such as Introduction to Analytics, Probability and Statistics, Data Communication and Visualization, as well as concentration courses in the areas of Applied Machine Intelligence, Evidence Based Management, and Statistical Modeling.

• In conjunction with the Program Lead, develop and implement course learning outcomes, curriculum maps, resource guides, textbooks, syllabi templates, and updated course materials; includes campus-specific coursework as desired.

• Oversee the instruction of specific courses within the curriculum. Responsibilities include supporting the Program Lead in the selection of part-time instructors, advising on syllabi, and evaluating part-time instructor performance.

• Identify and provide recommendations to keep curriculum relevant and industry-leading.

• Work with the Program Lead to ensure regional license/accreditation requirements are met.

• Participate in comprehensive evaluations and periodic reviews as required by the campus in which the campus operates.

Teaching and actual course load may vary with other responsibilities, which include, but are not limited to:

Scholarship and Service to the University (approximately 20% of time)

• Create and present professional development opportunities for full and part-time faculty in the unit and College.

• Partner with stakeholders in enrollment management and marketing to represent the program at open houses and orientations.

• Serve on committees that support the mission of the program and the vision of the College and wider University.

• Promote the discovery and dissemination of knowledge through scholarship, research, creative activity, and professional development.

Faculty enjoy a collegial work environment that allows for work-life balance and are expected to be available to students in-person and online as needed for their coursework.

Qualifications:

The successful candidate must demonstrate strong teaching abilities and a dedication to continued improvement as an educator. Experience teaching at the master's level, teaching and developing on ground and online courses, and proven success in working with international students are desired attributes.

The successful candidate will have the following qualifications and characteristics:

• A terminal degree from an accredited institution in computer science, statistics, analytics, data science, or a related field by appointment date.

• 3+ years of professional experience in advanced analytics or data science and familiarity with commonly used tools and techniques in analytics (R, python, Tableau, Spark, SQL, etc.). Possessing knowledge about how to manage, analyze, communicate, visualize, and lead with artificial intelligence is a plus.

• Experience teaching at the graduate level and innovative use of technology in support of assessment and learning

• Excellent written and oral communication, specifically with the ability to communicate technical concepts to novices and non-technical stakeholders.

Applicants should submit materials including a letter of interest, vitae, and contact information for three professional references. In your cover letter, please discuss how you can support our commitment to fostering an inclusive environment for all faculty, staff, and students. Please direct questions to Joe Reilly (j.reilly@northeastern.edu). Applications will be reviewed until the position is filled.

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law. To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.

Position Type

Academic

Additional Information

Northeastern University considers factors such as candidate work experience, education and skills when extending an offer.

Northeastern has a comprehensive benefits package for benefit eligible employees. This includes medical, vision, dental, paid time off, tuition assistance, wellness & life, retirement- as well as commuting & transportation. Visit https://hr.northeastern.edu/benefits/ for more information.

Northeastern University is an equal opportunity employer, seeking to recruit and support a broadly diverse community of faculty and staff. Northeastern values and celebrates diversity in all its forms and strives to foster an inclusive culture built on respect that affirms inter-group relations and builds cohesion.

All qualified applicants are encouraged to apply and will receive consideration for employment without regard to race, religion, color, national origin, age, sex, sexual orientation, disability status, or any other characteristic protected by applicable law.

To learn more about Northeastern University's commitment and support of diversity and inclusion, please see www.northeastern.edu/diversity.