Baltimore, Maryland
Washington, D.C.
Washington, D.C.
Baltimore, MD
Washington, D.C.
Baltimore, Maryland
Posted: 28-Apr-24
Location: Baltimore, Maryland
Type: Part-time
Salary: Open
Categories:
Internal Number: R2708
Welcome to the official site for employment opportunities at MICA. At MICA, we value diversity and empower our employees to use their talent in a variety of ways. We are pleased that you are interested in career opportunities offered at MICA.
General purpose: To provide instruction in the Statistics and Analysis I and II course set for students in the Data Analytics and Visualization (DAV) program and to convey knowledge of multiple elements of statistics, data analysis and visualization from a professional industry perspective.
Program Details: Launched in 2012 the M.P.S. in Data Analytics and Visualization is designed to help professionals accelerate their careers with a focus on analyzing complex multivariate data sets and creating compelling visual narratives. The program emphasizes creating meaning through the visual organization of data and interactive designs that help users bore down into facts, figures, and details to gain more and more meaning; meaning that activates enterprises, policy making, and supports scientific discovery.
Summary of Essential Functions:
- Holds instructional class session once a week for the duration of the class.
- Collaborate and coordinate with program leadership and faculty.
- Holds office hours once a week for the duration of the class.
- Provides core instruction to satisfy primary learning objectives of course.
- Provides timely feedback on and assessment of student work.
- Works directly with the curriculum team
- The curriculum team establishes program and course learning objectives, standardizes rubrics and syllabi, and assists in structuring course materials on Canvas.
Essential Duties & Responsibilities:
- Prepare lesson plans for the duration of the course:
- This may include sourcing supplementary materials from diverse sources, ensuring course materials are relevant, up-to-date, and in alignment with program learning objectives.
- Deliver live lectures for students once a week.
- Maintain consistent communication with students:
- Holding at least one hour of regular office hours every week
- Replying to any student communication within 24 hours
- Evaluate and provide feedback on student work:
- This includes providing timely written and/or audio/video feedback via the LMS (Canvas) and keeping a current gradebook.
- Maintenance of Canvas course current throughout the term:
- Includes updating a syllabus, setting assignments with due dates, publishing class Zoom recordings, providing slide decks and other materials to students in modules.
- Perform other related duties as assigned.
Knowledge, Skills, and Abilities:
- Knowledge of statistics, data analytics, and data visualization tools.
- Topics in these courses include:
- Methods for gathering, organizing, preparing, and analyzing information and data that are central to visualization.
- Data types, data gathering, data cleaning, preparation, organization and exploratory summarizations.
- Descriptive statistical relationships such as range, centrality, histograms, distributions with data and information.
- Probability and statistics concepts commonly used in the visualization process.
- Statistical measures, correlation, regression, and fitting to data sets.
- Applicants should have experience and expertise in all of the above concepts.
- Applicants should be comfortable with using technology in a classroom setting.
- Applicants should be able to demonstrate pedagogical knowledge of their subject area.
- Proficiency in data analytics and visualization programs, specifically R, Tableau, and Excel, is required (Python, Adobe Illustrator, and others may also be helpful).
Minimum qualifications:
- Bachelor's degree in a related field.
- 5 years of related professional experience.
- Proficiency in data analytics and visualization programs including R, Tableau, and Excel.
Preferred qualifications:
- Masters degree in a related field.
- 10 years of related professional experience.
- Expert knowledge of data visualization tools such as R, Tableau, and Excel, along with proficiency in Python, D3, Adobe Illustrator, and others.
Conditions of Employment:
Conditions: Background Check.
Physical demands and work environment: The physical demands and work environment characteristics described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.
Physical Demands: While performing the duties of job, the employee is occasionally required to stand, walk; sit; use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; balance; stoop; talk or hear. The employee must occasionally lift up to 15 pounds. Specific vision abilities required by the job include close vision, distance vision, color vision, peripheral vision, depth perception, and the ability to adjust focus.
Work environment: While performing the duties of the job, the employee is exposed to weather conditions prevalent at the time. The noise level in the work environment is usually minimal.
Required MICA training: Handbook orientation, Anti-Harassment, Hazard Communication, Emergency Plans & Fire Prevention, Personal Protection Equipment.
Maryland Institute College of Art is committed to its policy of providing equal opportunity regardless of race, color, creed, national origin, religion, gender, sexual orientation, marital status, age, disability, or veteran status (disabled, Vietnam-era, or otherwise). Furthermore, the College does not tolerate any form of sex discrimination, including sexual harassment or sexual violence. This policy applies to all programs, facilities, and activities provided by Maryland Institute College of Art, including but not limited to admission, educational programs, and employment.
Applicants must apply online for each job in which they are interested. You will not be considered for any job for which you have not specifically applied. We do not accept applications via email, U.S. mail, or fax. Successful candidates for any staff or faculty positions will be subject to a pre-employment background check.
MICA provides reasonable accommodations to applicants with disabilities on a case-by-case basis. If you need a reasonable accommodation for any part of the application and hiring process, please contact Human Resources at 410-225-2363.
