Online Data Analytics Adjunct | 5-Week Evening Courses

Downtown Boulder Partnership

Virginia Beach (VA)

Hybrid

USD 30,000 - 50,000

Part time

14 days+

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Benefits offered by this job

Competitive compensation
Retirement plan
Health Advocate
Employee Assistance Program (EAP)
Employee Discounts
IPad/Computer Purchase Program
Employee Referral Program

Job summary

Downtown Boulder Partnership is seeking Online CIS Data Analytics Adjunct Faculty in Virginia Beach, VA. Instructors will teach in the undergraduate Software Development program, sharing industry experiences to aid student learning outcomes.

No prior teaching experience is required as training and mentorship will be provided. Candidates must have a Master's degree in Computer Science and be available to support evening and weekend classes. Competitive compensation and various employee benefits are included.

Qualifications

  • 3-5 years industry experience required within the last 5 years.
  • Comfortable troubleshooting software or technical concerns for students.
  • Responsible for supplying your own Windows-based computer and webcam.

Responsibilities

  • Teach one live session each week and hold one live office hour via Zoom.
  • Support busy adult learners during evenings and weekends.

Skills

Programming experience in C, C++, Coral, Python, Java, Assembly, Javascript, CSS, HTML and/or SQL
Proficiency in at least one statistical analysis tool (SAS / R / Python / Hadoop)
Strong verbal and written communication skills
Ability to work in a 5-week accelerated course environment
Strong interpersonal skills (approachability and empathy)

Education

Masters degree in Computer Science

Job description

Downtown Boulder Partnership is seeking Online CIS Data Analytics Adjunct Faculty in Virginia Beach, VA. Instructors will teach in the undergraduate Software Development program, sharing industry experiences to aid student learning outcomes.

No prior teaching experience is required as training and mentorship will be provided. Candidates must have a Master's degree in Computer Science and be available to support evening and weekend classes. Competitive compensation and various employee benefits are included.

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