Assistant/Associate Professor of Data Science

Empire State University • Saratoga Springs, NY • 1d ago

Assistant/Associate Professor of Data ScienceEmpire State University is currently seeking an Assistant Professor of Data Science to join the Department of Computer Science and Technology (CS&T) in the College of Arts and Sciences. The successful candidate will develop and teach online courses, independent studies, and study groups in their expertise area, and serve learners across New York State, nationally, and world-wide. Responsibilities include teaching and mentoring (advising) students from diverse backgrounds and disciplines and guiding mentees as they pursue individualized degree programs.The Assistant Professor of Data Science will collaborate with CS&T and Mathematics colleagues to develop and support new undergraduate and graduate academic programs in Data Science. This program will prepare students for jobs in new and emerging fields and enable them to gain proficiency and hands-on competencies in areas including information computing; optimization; data analysis and management; applied mathematics and statistics; ethics; and critical-thinking and problem-solving skills. Candidates with curriculum development or relevant industry experience are encouraged to apply.Our faculty is committed to meeting the needs of adult learners and mentoring, motivating, and supporting our students through consistent advisement, engaging instruction, and continuous program improvement. The successful candidate will demonstrate a strong commitment to diversity, equity, inclusion, and belonging across the faculty role. We are particularly interested in applicants who can deliver high-quality teaching using evidence-based practices to engage students from various backgrounds and experiences effectively.A highly distributed organization, SUNY Empire makes extensive use of technological applications for communication, teaching and learning, and administrative purposes. Working in cooperation with faculty and staff, the successful candidate will provide high-quality educational services to students, engage in an active scholarly agenda, participate in university governance, and enhance the university's reputation within the community.Job Requirements:Required Qualifications: An earned doctorate from a regionally accredited U.S. university or comparable non-U.S. university in Data Science, Business and Data Analytics, Applied Mathematics, Statistics, or a closely related field at the time of appointment. College or university level teaching experience. Experience with supporting diverse populations. Ability to work in a distributed faculty environment. Ability to teach and develop courses. An active scholarly agenda. Excellent oral and written communication skills.Preferred Qualifications: Demonstrated knowledge of adult teaching and learning. Experience with teaching and mentoring in online learning environments. Experience with academic program development. Bilingual and biliterate in Spanish and English.Special Information: Occasional travel will be required to fulfill university-wide obligations, including biannual travel to Saratoga Springs, New York. Office hours will vary in accordance with student needs. Periodic evening and weekend engagement will also be required. Applicants must be currently authorized to work in the U.S. on a full-time basis. VISA sponsorship is not available for this position. SUNY Empire provides employees with robust remote and flexible work options to meet the needs of students, faculty, and staff in a dispersed work environment.Additional Information:Rank/Salary: Tenure-track, assistant/associate professor, salary range from $87,000 to $95,000, appointment and salary to commensurate with experience and qualifications.We are pleased to offer our employees an excellent benefit package which includes NYS health insurance, free dental and vision, competitive retirement options, and generous vacation, sick and holiday accruals; and a strong emphasis on work-life balance. We also offer faculty-development opportu

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