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Data Scientist Professor Position in Vancouver

1 month ago


Vancouver, British Columbia, Canada New York Institute of Technology Full time

New York Institute of Technology is a nonprofit, independent, private, and nonsectarian institute of higher education founded in 1955. With campuses in New York City and Long Island, New York, the university offers undergraduate, graduate, and professional degree programs in in-demand disciplines including computer science, data science, and cybersecurity.

The department of Computer Science in the College of Engineering and Computing Sciences at New York Tech seeks an Assistant Professor at the Vancouver Campus. The candidate will teach courses primarily in our new Master of Data Science program starting in Spring 2025 but should also be able to provide support for other master's level courses in Computer Science at the campus.

We solicit applications from individuals whose research focuses directly on Data Science methodology which includes artificial intelligence, machine learning, statistical inference, computational/applied mathematics, data visualization, etc. We also welcome those working in other domains who contribute to data analysis methodology for that domain.

As a professor, you will have numerous opportunities to enhance personal and professional growth and provides employees with a competitive compensation and benefits program inclusive of generous paid time off, holidays, and retirement plans with employer contributions.

NYIT Vancouver's diversity ensures enhanced inclusivity, reflects our community, and includes Indigenous peoples, minority communities, immigrants, and persons with disabilities. NYIT strives to build a strong foundation for meaningful reconciliation and support a respectful diverse workforce.

In compliance with local legislation as well as to provide greater transparency to candidates, the annual base salary range for this position is CAD $112,000 - CAD $120,000. Factors such as scope and responsibilities of the position, candidate experience/expertise, education/training, key skills, geographic location, internal peer equity as well as market, organizational considerations are considered when extending an offer.