Data Science & Predictive Analytics Course Instructor

Location
Irvine, CA
Posted
Aug 12, 2017
Institution Type
Four-Year Institution
  • Division of Continuing Education - Corporate Education


  • RECRUITMENT PERIOD



    Open August 11th, 2017 through August 10th, 2018


    DESCRIPTION


    Online teaching positions are now available in the Level 1 Data Science Certificate Program for one of our corporate clients.

    We are seeking qualified applicants possessing current knowledge and/or teaching experience in the topic of Data Science & Predictive Analytics with specific software skills in R and/or Python.

    Specific Instructor Duties
    • Develop and/or update course syllabi in consultation with the UCI Division of Continuing Education (DCE) Program Director as assigned and using approved syllabus template
    • Prepare and deliver course materials and learning assessments in the assigned format
    • Utilize the Canvas Learning Management System as the course support platform
    • Communicate teaching objectives and specific learning outcomes to students, and clearly outline the grading policies for the course
    • Evaluate student achievement of specific learning outcomes, and assign grades
    • Post final student grades to the transcript system by set deadlines
    • Respond to student questions and learning needs in a timely manner
    • Handle student inquiries about final grades and consult with Director as needed
    • Stay current regarding the professional body of knowledge in the field of practice
    • Participate in required orientations and complete mandatory training programs by deadlines established by UC Irvine
    • Complete required administrative tasks in a timely manner including: completing all hiring paperwork; submitting updated quarterly syllabi; posting bio and photo on the UCI DCE website; signing quarterly contract; ordering required texts; communicating AV and classroom needs
    • Employ culturally competent teaching methodologies in the classroom inclusive of both domestic and international student populations
    • Allow students to review their final exams/papers for up to 13 months following the last class session
    • Use subject-matter expertise and leverage additional resources appropriately to enhance the curriculum (i.e.: make arrangements for guest speakers, etc.)
    • Design interactive and motivational classroom activities to fully engage participants and to reinforce student learning
    • Update materials periodically, and regularly monitor course evaluations in order to make adjustments and improvements to the curriculum

    Our curriculum is constantly updated and tailored to bring students the background, expertise, and business practices to remain competitive and advance their careers. Taught by qualified practitioners, our courses feature practical applications, underlying rationale, and current issues, all of which can be immediately utilized in and applied to our students' work environments.

    We are looking specifically for potential instructors who are qualified to teach all knowledge areas of Data Science & Predictive Analytics as early as winter quarter (beginning January 2018):

    Detailed course descriptions can be accessed here: https://ce.uci.edu/pdfs/brochures/data_combo.pdf

    To apply for this position, please click this link: https://recruit.ap.uci.edu/apply/JPF04230

    Individuals hired to teach these courses must understand that all such agreements with the University are made on a course-by-course basis and that the Instructor will be made no guarantee of continual involvement with the University in any capacity.

    The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy.
    The Corporate Education Department is a leader in employee development and education, locally and across the globe. We deliver educational courses and programs on-site and online to our clients; developed around the unique industry and needs of each organization. Our students are in full time working positions and are seeking additional education that will enable them to update their skills, support a new company initiative, or prepare for industry certifications or exams. We are seeking world-class instructors who are experts in their fields, with extensive hands-on experience as business professionals and community leaders. Applications to teach are accepted on a rolling basis throughout the year to both fill immediate program needs, and to increase the depth of the instructor pool for future needs.

    Qualifications

    Basic
    • Advanced degree from an accredited institution

    Additional
    • 8-10 years of professional work experience in a Data Science/Predictive Analytics role
    • Current knowledge of and demonstrated proficiency in subject area
    • Must be committed to the highest level of academic standards and integrity
    • Highly effective oral and written communication skills, including the ability to convey conceptual and complex ideas and information
    • Highly effective interpersonal skills
    • Proficiency in (or willingness to learn) the use of instructional technology and online teaching tools
    • Current participation in professional associations
    • Comfort in dealing with working professionals

    Preferred
    • Experience designing/revising curriculum and measuring student performance
    • College-level teaching experience (or the corporate equivalent)
    • Experience using and/or teaching R and/or Python and KNIME
    Job location Online

    REQUIREMENTS

    Documents
    • Curriculum Vitae - Your most recently updated C.V.
    • Cover Letter
    References
    3 references required (contact information only)


    HOW TO APPLY

    1. Create an ApplicantID
    2. Provide required information and documents
    3. If any, provide required reference information

    Get started: press Apply Now

    PI99025850