Visiting Instructor- Data Science

MS -Applied Data Science is seeking to hire an instructor to teach core and elective courses in our curriculum, in our residential and online program. The courses include but are not limited to IA 651: Applied Machine Learning, IA 640: Information Visualization as well as possible elective courses. The projected teaching load is 4+4. The position is for 2 years and it is planned to start in August 2025

In person and remote teaching of designated course sections as specified by the contact hours for each of the courses
Maintaining and updating syllabi for the designated courses in our program
Ongoing review and modification of labs, guided exercises, assignments and examination materials for designated courses
Conducting in person and remote office hours for each of the designated course sections
Help with academic advising and career search advice
Help with setting up and approving GA appointments and bi-weekly time cards for the students in our program

Minimal Qualifications: MS in Applied Data Science or related field. . requirements should be completed by the time work commences.

Preferred Qualifications: PhD in Data Science or related field

Minimal Experience: 2 years of professional experience in machine learning and corporate data management and/or 2 years of experience as instructor and/or teaching assistant experience in data science courses.

Expertise in Probability, Statistic, Visualization using R package
Teaching and advising
Python and SQL competency
Proficiency in using a BI package (such as Tableau or PowerBI)
Ability to initiate tasks and work well independently
Excellent communication skills (written and verbal)
Class management, grading, leading recitation sessions, lab design and management.

The physical demands 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.

Health & Safety: All staff has a statutory responsibility to take reasonable care of themselves, others and the environment and to prevent harm by their acts or omissions. All staff is therefore required to adhere to the University's Health, Safety, and Environmental Policy & Procedures.

DISCLAIMER: The above statements are designed to indicate the general nature and level of work performed by employees assigned to this classification. They are not intended to be construed as an exhaustive list of all duties, responsibilities, skills, and qualifications required of personnel so classified.

Special Instructions to Applicants: An equal opportunity/affirmative action employer, Clarkson actively seeks and encourages applications from minorities, women and people with disabilities.

All offers of employment are subject to the applicant successfully passing a background check (including, but not limited to, employment verification, educational and other credential verification, and criminal records