Adjunct Faculty, Data Analytics (BAS)

Job description



Job Title Adjunct Faculty, Data Analytics (BAS)
Job ID 996497
Location Kendall Campus
Full/Part Time Part-Time
Regular/Temporary Temporary


Job Details



Job Family
FAC - Part-Time Faculty, Credit Classes
Grade
P1
Salary
$50.00 - Base Rate
Department
School of Engineering and Technology
Reports To
Department Chairperson
Closing Date
Posted on an ongoing basis
FLSA Status
Exempt - Not Eligible for Overtime Compensation


Job Summary


This Faculty member teaches upper-division Bachelor of Applied Science (BAS) in Data Analytics to students pursuing a Bachelor Degree.


Duties & Responsibilities


  • Teaches lecture and laboratory sections
  • Evaluates and advises students
  • Develops curricula
  • Maintains department standards
  • Recruits and participates in retention of students
  • Serves on committees
  • Performs other duties as assigned



Minimum Requirements


  • Master's degree in Data Science or related field (e.g. Data Analytics, Computer Science), or Master's degree in Statistics and 12 graduate semester hours in Data Science and/or related field (e.g. Data Analytics, Computer Science); or
  • Master's degree in Mathematics and 9 graduate semester hours in Statistics and 12 graduate semester hours in Data Science and/or related field (e.g. Data Analytics, Computer Science
  • All educational degrees must be from a regionally accredited institution
  • Experience with applied learning methodologies
  • Ability to communicate effectively with students with a wide range of skills
  • Possess excellent communication skills (verbal and written)
  • Ability to work well with students and colleagues in a multi-ethnic/multi-cultural environment
  • Must be able to work a flexible schedule that may include evenings and weekend assignments



Preferences


•Doctorate degree in Data Science or related field (e.g. Data Analytics, Computer Science); or
•Doctorate degree in Statistics and 12 graduate semester hours in Data Science and/or related field (e.g. Data Analytics, Computer Science)

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Job No:
Posted: 3/7/2018
Application Due: 5/6/2018
Work Type:
Salary: