Published on Feb. 8, 2021
Description: The University of Missouri (MU) Institute for Data Science and Informatics (IDSI) is accepting applications for multiple positions of Teaching Professor (Assistant and Associate levels) of Data Science and Analytics. In today’s information-centric world, data are becoming increasingly important for the success of businesses in every industry. Data science at MU is an interdisciplinary field with collaborators from a variety of academic areas, such as computer science, journalism, information science, healthcare, and bioinformatics. The data science and analytics curriculum covers the entire life-cycle from data ingestion and conditions at source through to business intelligence and decision making products. The demand for data scientist in the American workforce is expected to continue to grow at a healthy pace for the next ten years. The MU Data Science and Analytics program was awarded the 2018 Outstanding Credit Program award by the UPCEA Central Region for continuing education programs. As such, our program is rapidly growing, as is the employment prospects of our graduates.
Accordingly, we invite applications from applicants with demonstrated experience in data science and analytics, as well as big data computational ecosystems. Applicants should have experience working in a data intensive computing environment. The successful applicants will have working knowledge of both Python and R, and their use for data analytics and interfacing to big data ecosystems. Experience in applied machine learning, statistical modeling, and data mining are highly preferred. The incumbent will teach both online and on-campus sections of core data science training courses, as well as specialized emphasis area or advanced courses. Additionally, the successful applicants will have the opportunity to mentor group case studies and capstone projects. This position will include the opportunity to develop new data science courses, as well as provide input towards the evolution and refinement of data science training at Mizzou.
Qualifications: Applicants for Teaching Assistant/Associate Professor should have a doctorate degree in computer science, informatics, applied statistics, applied mathematics, or a closely related field with industry experience or graduate level data science instruction experience. Candidates should have a strong background in the teaching data science and analytics using computational tools and methods. Experience teaching on-line classes is preferred, but not required.
Closing Date: May 31, 2021 or until the positions is filled. Review of the initial set applications will begin on March 15, 2021 and will continue until the closing date.
Application: Applicants should submit a CV, a teaching statement, and a list of three to five professional references electronically at http://hrs.missouri.edu/find-a-job/academic for position #35541. Inquiries can be directed to DSAMasters@missouri.edu. Direct Application Link is here.
The University of Missouri is a Tier I research institution and one of only 60 public and private U.S. universities invited to membership in the prestigious Association of American Universities. Missouri was founded in 1839 in Columbia as the first public university west of the Mississippi River. Today, with an enrollment of more than 35,000 students, 13,000 full-time employees and 300,000 alumni, Mizzou is a $2.2 billion enterprise and an important investment for the state and nation.
MU specifically invites and encourages applications from qualified women and members of groups underrepresented in science. Equal Opportunity/Affirmative Action/ADA employer firmly committed to fostering ethnic, racial, and gender diversity in our faculty.