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Adjunct Faculty-Statistics and Analytics
GENERAL DESCRIPTION:
Founded in 1939 and located in midtown Manhattan, LIM College is a female-led and owned institution focused on the global business of fashion and lifestyle. Offering master's, bachelor's and associate degree programs, LIM prepares students for career success via an immersive approach grounded in real-world experience and learning by doing through required internships. LIM College's commitment to excellence in business education ensures graduates are sought after by a wide range of employers, as evidenced by a Career Outcomes Rate of 96% for the Class of 2022. Alumni excel throughout all areas of fashion and lifestyle and have gone on to work for companies such as Chanel, Gucci, Alexander McQueen, Ross Stores, The Financial Times, Ulta Beauty, Google, Saks Fifth Avenue, Cannabis Creative, and The National Football League.
LIM College is currently seeking an experienced part-time Adjunct Faculty member to teach Statistics and Data Analysis within our undergraduate general education program.
The successful candidate will have experience teaching introductory statistics or data analytics for non-majors. Emphasis in both subjects is placed on interpreting, reporting, and presenting findings. In addition, candidates should be able to include in their lessons various business scenarios that enable applied learning for students in the fashion and lifestyle industries. Experience teaching with MS Excel, Pearson's MyLab, and/or SPSS software a plus.
Ideally, candidates can demonstrate a history of teaching undergraduate non-majors using creative and active teaching methods utilizing learning management software (Canvas, Blackboard, etc.)
Requirements: The person selected will have the following qualifications:
• Master's degree in statistics, computer science, mathematics, or related fields (Ph.D. preferred)
• Minimum of 2 - 3 years' experience teaching in related fields
• Demonstrated knowledge and ability to engage students in active learning
• Experience using teaching and assessing digital platforms
• Experience using learning management software for some aspects of course delivery as well as grading (Canvas knowledge preferred)
Candidates should be available to teach in person at our midtown Manhattan campus.
To be considered, please submit a brief cover letter, resume or CV, and the contact information of three professional references.