Part-Time Faculty - Master's of Science in Data Analytics (MSDA)

Are you passionate about teaching non-traditional students? Do you have extensive experience in Python and Data Analytics? CSU Global is seeking part-time faculty to share their wealth of knowledge and instruct in our Master's of Data Analytics program (MSDA). Under the direction of the Provost, part-time faculty execute the delivery of courses ensuring alignment with University, accreditation, program, and state standards in support of CSU Global’s mission and programs.

_A terminal degree from regionally accredited university within (or related) discipline is required along with at minimum of 5 (five) years of experience in Python with data analytics. Please see the Qualifications Education & Experience section for more details.

_ OUR MISSION & VALUES

Colorado State University Global is committed to advancing student academic and professional success in a global society, by providing access to dynamic education characterized by excellence, innovative delivery technologies, industry relevance, and strong stakeholder engagement. We continue to thrive and drive our mission forward because we are

• Growth-Minded We continually learn, seek opportunities for growth, and believe we can do better with effort and persistence.
• Dedicated We provide exceptional service and support to our stakeholders to drive the mission of the university.
• Tenacious We are accountable for getting the job done right, acting thoughtfully and taking responsibility for our commitments and actions, and we thrive on achieving results.
• Agile We are flexible in our thinking, focus on solutions, innovative problem-solving, and overcoming obstacles.
• Engaged We collaborate, communicate, and motivate one another to achieve excellence.
• Champions of Integrity We act ethically, honestly, and respectfully to be trustworthy and reliable towards all stakeholders.

ESSENTIAL DUTIES & RESPONSIBILITIES Include The Following.

• Prior to the course start, complete a quality check/review of each assigned course per CSU Global expectations.
• Engage fully with students in assigned academic course(s). This translates to having active course participation and being responsive to students and supporting their success.
• Conduct course(s) as designed through the learning management system (Canvas)
• Post weekly course updates and announcements.
• Maintain and submit accurate and timely reports for student grades.
• Adhere to all CSU Global faculty expectations regarding engagement in the course through the discussion board and in comments and feedback to students on assessments.
• Provide personalized and substantive feedback on all student submissions and assignments within CSU Global guidelines.
• Respond promptly to student, Program Director, and University emails, phone calls, and inquiries in accordance with CSU Global guidelines.
• Host live class sessions, as required.
• Submit course tickets for any course issue.
• Provide feedback on the course topics, presentation, and relevancy to the Program Director.
• Actively assist the University in retention efforts such as reporting to the Academic Success Office a concern for a student not engaged in the course.
• Support University assessment efforts for the course and program.
• Maintain the highest level of ethical standard and confidentiality in the execution of all duties performed.
• Carries out duties in compliance with all state and federal regulations and guidelines.
• Complies with all University policies and procedures.
• Remains current in profession and industry trends.
• Makes a positive contribution as demonstrated by
• making suggestions for improvement
• learning new skills, procedures and processes.
• Is available for other duties as required.

Supervisory Responsibilities

• None

Required Knowledge, Skills & Abilities

• Documented knowledge and skills related to teaching modern learners and teaching methodology.
• Experience working with a diverse student population.
• Ability to resolve inquiries and complaints.
• Ability to effectively communicate to students, faculty, academic and campus leaders, and other internal and external stakeholders
• Proven ability to work effectively in a remote environment with minimal supervision.
• Proven ability to work in a fast-paced, highly dynamic environment
• Successfully completes regulatory and job training requirements.
• Computer skills
• Enter data into computer using software applications for data entry and word processing.
• Proficient with e-mail and cloud-based document systems (e.g., Google applications).
• Proficient with standard word processing, spreadsheet, and presentation software.
• Ability to perform repetitive tasks while maintaining speed of work and attention to detail without loss to productivity.
• Ability to perform under stress in cases of emergency, critical or hazardous situations.
• Ability to work with others in a team environment.
• Instructing
• Learning Strategies
• Active Listening
• Organizing, Planning, and Prioritizing Work
• Quality Assurance
• Critical Thinking
• Problem Solving

QUALIFICATIONS EDUCATION & EXPERIENCE

• Terminal degree from regionally accredited university within (or related) discipline is required
• 18 hours of graduate work within discipline
• Professional certifications within related discipline are strongly preferred
• Minimum two (2) years of teaching experience
• Minimum one (1) year of online teaching experience
• Minimum five (5) years of professional experience in related discipline
• Minimum five (5) years of experience with Python for data analytics
• Experience with advanced learning concepts such as proficiency in statistics, statistical methods, data science, probability and data analysis, data mining, and regression
• Experience with advanced machine learning concepts such as semi-supervised learning, deep learning, and natural language processing.
• Proficiency in analytics software tools and languages commonly used in industry such as SAS, SAS Enterprise Miner, SQL, Python, R, Hadoop, and Tableau
• Design of visualizations and tables to depict findings from statistical analyses.
• Relational and non-relational databases and data mining

Travel Requirements

• None

PHYSICAL DEMANDS

• While performing the duties of this job, the employee is frequently required to stand, walk, use hands to touch, handle or feel, and talk or hear.
• The employee is occasionally required to sit, reach with hands and arms.
• Ability to spend long durations in front of a computer monitor.
• Specific vision abilities required by this job include close vision and ability to adjust focus.
• The employee must occasionally lift and/or move up to 15 pounds.

Additional Information

CSU Global courses are 8 weeks in length. Course appointments are awarded on a term to term basis and are based on university enrollment. Employment is considered part time/temporary. Compensation is competitive, the hourly pay range is $32 -$37 based on teaching load and degree type and also includes a contribution to a retirement account. Background checks are required of all appointed candidates. Appointed candidates will be required to submit official transcripts prior to start date.

Applicants who advance through the hiring process will participate in a written assessment, pre-recorded video interview, live video interview, followed by a 3-week unpaid FCC100 training course. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the American with Disabilities Act and certain state and local laws. If you require an accommodation to CSU Global’s hiring process, please email Recruitment@csuglobal.edu.

Deadline to apply Friday, April 26, 2024 **

Current Part-Time Faculty** If you are a current Part-Time faculty and are interested in teaching for a different program where we have a vacancy, please reach out to your Program Director and the Provost to begin the recredentialing evaluation process.

Colorado State University System is an equal opportunity/affirmative action employer and complies with all Federal and Colorado State laws, regulations, and executive orders regarding affirmative action requirements. In order to assist Colorado State University System in meeting its affirmative action responsibilities, ethnic minorities, women, and other protected class members are encouraged to apply and to also identify themselves.