Assistant Professor Data Science 9 Month
Assistant Professor Data Science 9 Month
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Job Description
Welcome to Career Opportunities at Lindenwood University.
PLEASE READ: For all applications please include your resume and cover letter. You may skip the Quick Apply page by simply clicking Next at the bottom of the page. When you arrive at the Experience page you may upload all desired documents using the upload box labeled Resume/CV. This is the appropriate box to upload all documents.
Benefits of Being a Lindenwood Employee:
- Upon hire employerpaid tuition benefits for bachelors (employee spouse and dependent) and masters degree programs (employee and spouse only).
- Tuition discounts for doctoral programs (employee only).
- Comprehensive benefits plan: medical dental vision life insurance disability insurance and retirement options.
- Paid holidays: MLK Jr. day Good Friday Memorial Day Juneteenth Independence Day Labor Day Thanksgiving break (Wednesday Friday) and winter break (Dec. 23 Jan. 1.
- Free lunch Fridays: LU employees are eligible for a free meal on Fridays at the Evans Commons Dining Hall or Spellman Dining Hall; ChickfilA and Qdoba included.
- Professional development opportunities through the Lindenwood Learning Academy.
Job Title: Assistant Professor Data Science 9 Month)
Department: College of Science Technology and Health; Department of Mathematics Computer Science and IT
Evaluation Group: Faculty and Instructors
FLSA: Exempt
Location: St. Charles Campus
Application must be completed in one sitting. At the time of completing the application you will need the following documents to upload.
Supplemental Materials
- Cover Letter specifying your area of expertise and interest
- Curriculum Vitae
- Teaching Philosophy
- Three 3 recent letters of recommendation sent directly to
- Unofficial transcript(s) of all degrees completed
*** The system limits 5 documents to upload. You will need to save multiple documents into one PDF or have additional documents sent to ***
Job Summary
The College of Science Technology and Health at Lindenwood University invites applications for an Assistant Professor of Data Science.
Qualified applicants will possess a terminal degree in Data Science Computer Science Mathematics Statistics Engineering or a related field. The successful candidate will be expected to teach 4 courses 12 credit hours) each semester on topics related to their area. Preference will be given to candidates with experience teaching online. All Lindenwood faculty members are expected to advise and mentor students continue to develop their expertise through research and scholarship and participate in faculty governance and campus life.
The Assistant Professor of Data Science is a fulltime 9month faculty position that will begin August 2025. Review of applications will begin immediately and will continue until the position is filled.
The ideal candidate should have a strong background in machine learning data visualization and statistical/mathematical modeling. Experience in interdisciplinary collaboration is essential. Preference will be given to candidates with a record of teaching and service excellence interest in undergraduate research and a demonstrated ability to teach a wide range of courses.
Essential Job Functions and Performance Indicators
The intent of this job description is to provide a representation of the types of duties and level of responsibility that will be required of positions given this title. This job description shall not be construed as a declaration of the total of the specific duties and responsibilities of any particular position. Employees may be directed to perform jobrelated tasks other than those specifically presented in this description. Employees should refer to the Employee Guidebook and the respective performance evaluation for additional jobrelated expectations.
Standard 1 Teaching and Learning
Lindenwood faculty are committed to designing courses and creating classroom cultures characterized by rigor inclusiveness support and engagement for researchbased teaching that will serve faculty from all disciplines and students from all groups. Guidelines and expectations developed by the colleges departments or programs to support needs and/or requirements specific to each will be determined by the academic administrators and communicated to the faculty.
Standard 2 Academic Service and Contributions
Lindenwood faculty actively support and provide service to the mission vision values and initiatives of the university and colleges and exemplify the Q2 culture of service excellence. Guidelines and expectations developed by the colleges departments or programs to support needs and/or requirements specific to each will be determined by the academic administrators and communicated to the faculty.
Standard 3 Continuous Learning and Scholarship
Lindenwood faculty are committed to remaining current in their discipline and instructional practice through continuous learning and contributions to their field by participating in scholarly work.
Required Qualifications
An equivalent combination of education training and experience will be considered. Additional requirements may be designated by position.
View Required Qualifications by Rank
Knowledge Skills and Abilities
May be representative but not all inclusive of the knowledge skills and abilities necessary to perform this job competently.
Communication Skills: Ability to verbalize understanding of complex problems or situations ask relevant questions for clarifications and explain concepts clearly to others; welldeveloped written communication skills; ability to communicate diplomatically clearly and effectively with students and coworkers verbally inperson and by telephone using the English language; ability to present materials effectively to individual students or groups; ability to manage interpersonal conflict situations requiring tact diplomacy and discretion; and ability to support a culture of diversity equity and inclusion through effective interactions with students employees alumni and other stakeholders.
DecisionMaking & Analytical Skills: Ability to define problems collect data establish facts and draw valid conclusions; ability to organize and express ideas directions and data in a logical sequence to describe a process or explain procedures such as how to perform a task; and ability to deal with abstract and concrete variables.
Technological & Related Skills: Ability to use current technology to enhance effectiveness including but not limited to computers computerassisted instruction programs and audiovisual equipment; willing to learn and apply any other new technology necessary to enhance learning; working knowledge of Microsoft Word Excel Outlook PowerPoint Canvas (LMS) CAMS (SIS) and Workday (EIS); and ability to use phones fax machines printers scanners and copiers.
Work Environment
Environmental or atmospheric conditions commonly associated with the performance of this jobs functions.
- Unless a faculty position is designated as fully remote all fulltime faculty positions are designated as nonstandard flex. Oncampus presence is required and is deemed necessary to perform the position expectations. Flexibility for remote work for nonroutine situational and unusual circumstances is provided at the administrators discretion.
- General office and/or classroom setting for oncampus faculty and instructors
- Variable work environments as determined by online instructors; must have 24/7 access to a computer that meets minimum technical specifications and has highspeed Internet access distraction free from noise and movement
- See Attendance section below for work environment attendance expectations
Physical Abilities
The physical demands described below are representative of those that must be met by an employee to successfully perform this jobs essential functions. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
- Stamina to teach classes as required
- Ability to stand or sit for extended time periods
- Ability to meet oncampus requirement for classes and duties that are designated as such
Attendance
Equal Opportunity Employer
Lindenwood University is an Equal Opportunity employer. The University complies with appropriate federal state and local laws and provides equal employment opportunities and access to educational programs without regard to race color religion gender age sexual orientation gender identity national origin veteran status disability or any other protected status to all qualified applicants and employees. Lindenwood University is committed to a policy of nondiscrimination and dedicated to providing a positive discriminationfree educational work environment.
Employment Type
Full-Time
