Job Details

Adjunct - Data Science

The Data Science Adjunct serves as an academic professional, delivering courses, and providing service to, and on behalf of the University. The primary focus is teaching or developing graduate courses for data science and machine learning.

Compensation: $1,150 per credit hour - Doctorate $1,050 per credit hour - Master's

Minimum Qualifications and Requirements:

• A Master's degree in Mathematics, Statistics, Data Science, Computer Science, or related field is required.
• Demonstrated expertise in two or more of the following subject matters: big data analytics and data science methodologies; Python programming specific to data analytics; data visualization; AI and machine learning; text mining and unstructured data processing; ethics in data science and AI; data architecture, cloud computing, and high-performance computing.

Desired Qualifications:

• A doctorate in Mathematics, Statistics, Computer Science, Data Science, or related field is preferred.
• Experience of teaching graduate students in an online environment.
• Experience in the high-tech industry.
• Stay current with trends and new developments in the field.

Other Qualifications:

• Candidates must be legally authorized to work in the United States. Visa sponsorship and relocation allowance is not available for this position.
• Report to work obligations to support the department and may require work during HPU's winter break, if necessary.
• Must meet training and background check qualifications and comply with the Protection of Minors policy.
• Able to teach classes scheduled during days, evenings, and weekends.
• Able to teach classes online.
• Successful candidate will be able to work in an environment that utilizes excellent time and stress management skills.

Key Responsibilities/Essential Job Functions:

• Models best professional practices in teaching (95%)
• Develops a syllabus of course activities and assessments of learning that meet the requirements of the course description and established institutional, state, and professional standards.
• Plans and delivers individual class sessions that conform to the syllabus and other requirements of the University.
• Maintains records on student participation and performance and assigns course grades in a timely manner.
• Integrates in-depth knowledge of content area, teaching, and learning into instructional practice.
• Demonstrates the proficiencies outlined in professional, state, and institutional standards.
• Values candidates' learning and adjusts instruction appropriately to enhance candidate learning.
• Understands assessment technology, uses multiple forms of assessments in determining effectives, and uses the data to improve practice.
• Be available at least one hour per week for each course taught to advise students regarding their course work.
• Performs other related duties as assigned (5%)
• Actively participates as an effective member of team by completing assigned duties, accepting additional assignments or reassignments.