Adjunct (Pool) - Data Science

It’s a great time to join Marymount University! We are looking for faculty and staff who are passionate about providing excellent service to ensure a high quality student experience and collaborative working environment.

Job Summary

The School of Technology and Innovation in the College of Business, Innovation, Leadership, and Technology (BILT) at Marymount University invites applications from persons qualified to teach undergraduate and graduate Data Science lecture and hands-on courses on topics that include: Data Science Concepts, Data Analysis, DataOps, Machine Learning, Artificial Intelligence, and more.

Faculty are expected to teach high quality courses in online and face-to-face settings. The School of Technology and Innovation within the College of BILT is located at Marymount University’s Ballston Center in the city of Arlington, Virginia. Our college is committed to preparing students for the industries in our community from government to startups to large established companies.

Marymount University welcomes and values all members of our community. Guided by the mission of our founders, the Religious of the Sacred Heart of Mary (RSHM), to achieve unity through diversity, Marymount honors our diversity as a source of strength. Our differences inspire intellectual curiosity and collectively allow us to tackle the challenges of the world. We seek to foster an inclusive community in which each person’s race, ethnicity, religion, sex, gender identity, sexual orientation, veteran status, age, ability, class, national origin, and immigration status are fully respected and celebrated. According to the vision of the RSHM that “ALL may have life, and have it to the FULL,” we strive to create an atmosphere of mutual respect, cooperation, and civility where all community members are S.A.I.N.T.S—Safe, Accepted, Included, Needed, Treasured, and Seen.

Please submit a letter of interest describing your academic and professional experiences, scholarly interests and teaching philosophy; a current C.V.; and a list of three professional references where prompted.

Direct Supervisor

School of Technology and Innovation Director

Status

Part-Time, Exempt

Division

Academic Affairs

Target Weekly Hours

10

Location

Ballston

Benefits

Benefits Eligibility

No

Major Duties And Responsibilities

• Teach designated courses, face-to-face and/or online (synchronous and asynchronous), including keeping teaching materials current, interacting with the learners in discussions and hands-on activities, the continuous grading of assignments, and monitoring each learner’s performance throughout the courses.
• Maintain appropriate office hours and support all learners in their educational journey and in their career progression.
• Work with the School of Technology and Innovation Director to identify new subjects in the field and identify yourself or others as guest speakers and potential adjuncts to deliver this material.
  
  

Job Requirements

Education & Experience

• Master’s degree is required with a minimum of 18 graduate credits directly related to the data science, mathematics, or related field.
• A terminal degree (PhD, DBA or DSc) is desirable
• From three to five years of professional experience in the data science field, in government or industry) is preferred.
• Experience teaching in higher education or with adult learners, including project-based learning, is preferred.
  
  

Financial Responsibility

• None
  
  

Supervision

• None
  
  

SPECIAL WORKING CONDITIONS

• None
  
  

Marymount provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.

This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.