Assistant Professor - Data Analytics (9-month, Tenure Track)

Apply now Job no: 494807
Work type: Faculty - Temporary & Continuing
Location: Big Rapids, MI 49307
Categories: Faculty

Position Title: Assistant Professor - Data Analytics (9-month, Tenure Track)  
Location: Big Rapids (Main Campus)  
Department:

34500 - Marketing

 
Advertised Salary: Salary commensurate with education, experiences and other requirements. Comprehensive benefit package (health care, vacation, etc.)  
FLSA: Exempt  
Temporary/Continuing:  Continuing  
Part-Time/Full-Time: Full-Time  
Union Group: Ferris Faculty Association (MEA-NEA)  
Term of Position: 9 Month  
At Will/Just Cause: Just Cause  
Summary of Position: The Marketing Department is seeking a qualified individual to teach a selection of undergraduate and graduate courses in Data Science & Analytics. The applicant should be able to teach an array of the required courses in the Business Data Analytics BS and the MS in Data Science & Analytics programs. Subjects include: Introduction to statistics, inferential statistics, applied linear models, applied statistical methods, calculus, programming, machine learning, visual data analytics, and data mining tools that include association rules, clustering, predictive analytics, text & web mining, and data warehousing and intelligence.  
Position Type: Faculty - Temporary & Continuing  
Required Education: Ph.D. or Ph.D. candidate graduating prior to January 1, 2023 with a Ph.D. in statistics, applied statistics, data mining, data analytics, business data analytics, data science, or a closely related field.  
Required Work Experience: Experience in teaching statistics, data mining, data analytics, data science, machine learning, artificial intelligence, or a related field in face-to-face, mixed delivery, or online environments at a college/university level.

Industry, consulting, or research experience in statistics, data mining, data analytics, data science, and/or big data.

Demonstrated research and publication background.
 
Required Licenses and Certifications:    
Physical Demands:
  • Office Environment
  • Sitting
  • Standing
  • Balancing
 
Additional Education/Experiences to be Considered: In-field industry with leadership involvement or equivalent teaching experience with consulting or research involvement in statistics, data mining, data analytics, data science, machine learning, artificial intelligence, big data, or a closely related field.  
Essential Duties/Responsibilities: Teach a selection of undergraduate and graduate courses in Data Science & Analytics. The applicant should be able to teach an array of the required courses in the Business Data Analytics BS and the MS in Data Science & Analytics programs. The taught subjects are: Introduction to statistics, inferential statistics, applied linear models, applied statistical methods, calculus, programming, machine learning, visual data analytics, and data mining tools that include association rules, clustering, predictive analytics, text & web mining, and data warehousing and intelligence.

Applicants should possess the ability to develop and deliver curricula activities for hands-on experiential learning integrated across multiple platforms (online, mixed delivery, and face-to-face).

Faculty is expected to engage in assessment of student learning and scholarly/professional development activities to enhance their teaching ability or learn new materials/techniques/software that will be incorporated to improve the teaching skills to benefit the students.

Faculty members will also have professional responsibilities, including advising students, orientation and registration of students, and participating in University, College, Department, and Program committees. Faculty should keep regular posted office hours, scheduled at times convenient for students and participate in traditional functions which have academic significance.

Applicants should be able to work independently and collaboratively with effective communication skills. The applicant is encouraged to serve as an advisor for our students in the Data Analytics Association at Ferris.

Demonstrates an understanding of diversity, equity, and inclusion, especially in working relationships with students, faculty, staff and community members.

Excellent written and oral skills.

Any other duties assigned within the position classification area.

 
Marginal Duties/Responsibilities: Industry, consulting, or research experience in data mining/analysis, big data analysis, or econometrics.

Experience teaching statistics or related technical subject face-to-face, blended, and online in a technically enhanced environment.

Demonstrated research and publication background.
 
Skills and Abilities: Excel – Statistical functions & pivot table

IBM-SPSS Modeler, SAS Enterprise Miner, and/or other software used in data mining/analytics

IBM-SPSS Statistics, SAS, and/or Minitab

SQL, Tableau, and Power BI

Programming: R, Python, and/or SAS for Statistics

Excellent communication skills

Demonstrated commitment, experience and understanding for diversity, equity, and inclusion.
 
Required Documents:
  • Cover Letter
  • Curriculum Vitae
 
Optional Documents:    
Special Instructions to Applicants: Transcript 1 (REQUIRED): Applicants must attach a copy of unofficial transcript of terminal degree.

Transcript must include: Institution name, applicant name, date degree attained, degree awarded. Finalist will be required to submit an official transcript.
 
Initial Application Review Date:
9/5/2022  
Open Until Position is Filled?: Yes  
Posting Close Date:
   
EEO Statement: Ferris State University, an Affirmative Action/Equal Opportunity employer, is committed to enhancing equity, inclusion, and diversity within its community. Ferris offers employment opportunities to qualified candidates seeking careers in a student-focused environment that values opportunity, collaboration, diversity and educational excellence.  Learn more about the Ferris Mission and community at ferris.edu. The University actively seeks applications from women, minorities, individuals with disabilities, veterans, and other underrepresented groups. For more information on the University’s Policy on Non-Discrimination, visit: Ferris Non-Discrimination Statement.  
     
     

Advertised: Eastern Daylight Time
Applications close:

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