Adjunct Faculty, Data Science

Adjunct Faculty, Data Science Adjunct Honolulu, HI, US Salary Range: $800 - $1,000 (per credit hour) Chaminade University of Honolulu Position Information Title: Adjunct Faculty of Data Science, Analytics, and Visualization Department: Data Science, Analytics, and Visualization College of Business, Innovation, and Technology Exempt Reporting Relationship Reports to: Dean of the College of Business, Innovation, and Technology Position Summary The responsibilities of this position comprise teaching both undergraduate and graduate level courses in the Data Science, Analytics and Visualization and Computer Science Programs. The Adjunct Faculty is expected to remain current in the discipline and pedagogy. The Adjunct Faculty participate actively in curriculum delivery, development, and assessment. The Adjunct Faculty will hold regular office hours in support of students. The Adjunct Faculty will perform all duties professionally and ethically, and support the policies and mission of the University. Duties and Responsibilities Meet faculty responsibilities as described by Chaminade University’s Policy Manual IV. Support policies as stated in the Chaminade College: College of Business, Innovation, and Technology. Participate in meetings related to the course(s) being taught. Demonstrate and encourage critical thinking skills. Demonstrate and maintain a professional relationship with administration, faculty, staff, and students. Communicate clearly with administration, faculty, staff, and students. Serve as a professional role model for students. Maintain high standards and promote excellence in education. Demonstrate ongoing professional competency by seeking new knowledge, improving teaching skills, and remaining current in the academic discipline. Design, execute, and assess courses in Computer Science and Data Science, Analytics, and Visualization. Collaborate with data collection and tracking student outcomes in support of extramurally funded programs at the request of the Chair in Data Science, Analytics, and Visualization. Any other duties as assigned by the Chair in Data Science, Analytics and Visualization, and the Dean of Business, Innovation, and Technology Disclaimer This list of responsibilities is not exhaustive. The percentages regarding the essential and non-essential functions of the job are not precise and are only an approximation, which can vary on a day-to-day basis and are subject to change on an as-needed basis and/or in the sole discretion of supervisory management. Some holiday and weekend work may be required. Qualifications Master’s in Computer Science, Data Science, or a closely related field from an accredited college or university. Applicants with a Bachelor’s and appropriate experience may be qualified pending approval by the Provost. Industry experience in programming languages (e.g., Java, Python, R, or SQL), programming compilers, using open-source tools to develop applications and achieve results, machine learning, statistical analyses and visualizations, and high-performance computing, and teaching experience and delivering training programs in computer science or data science. Knowledge in Java, R, Python, SQL, macOS and Windows, data science, big data, deep learning, text mining, statistical analyses, Bayesian statistics, and machine learning, and high-performance computing. Programming languages, programming structures and design, programming applications, and data structures Knowledge on developing and performing designed experiments using a programming language, deep learning and machine learning, statistical analyses, Bayesian statistics, big data, visualizations, and high-performance computing. Knowledge on 3 rd party applications and utilizing them to extend features and operations, and improve functionality and reliability. Knowledge on front-end development and backend development. Knowledge on transferability of codes and projects. Knowledge on testing and debugging code. Understanding of programming policies, standards, and best practices. Experience applying various programming languages towards some application. Experience presenting in front of technical and non-technical groups. Experience course content for offline and online computer environments. Good communication and presentation skills to explain complex programming concepts to students. Computer literate with an excellent working knowledge of Microsoft Office Suite (Word, Excel, Access, Power Point); learning management systems (e.g. Canvas); e-mail programs; and the internet. Has knowledge and experience in using common office equipment such as copiers and scanners. Ability to design and implement programs of study such as training and workshops, designing learning outcomes, assembling content and delivering lectures, and delivering and managing class activities. Ability to prioritize work and resources. Ability to meet deadlines. High integrity and ethical standards. Physical Requirements Duties involve light work in an office and community setting and requires a minimum of physical effort with intermittent sitting, standing, climbing stairs, and walking inclines. Must be able to lift 20 pounds, walk the campus with ease, and have excellent motor skills. Must have finger dexterity. Must be able to communicate information and ideas so that others will understand. Other Requirements: This is a part time, exempt position. Nineteen hours per week (M-F) will be the general rule. However, depending on the project cycles and workflow demands of the department, additional hours or workday schedule changes may be occasionally required. Must be willing and able to work occasional nights and weekends and a varying schedule Performs such similar, comparable or related duties as may be assigned or required Observes all safety and health regulations and works in accordance with safe work procedures and policies of the University. Reports unsafe acts/conditions and injuries in a timely and proper manner #J-18808-Ljbffr