Clinical Assistant Professor, Questrom School of Business, Markets, Public Policy and Law (23599932500825)
Job Description:
- Serve as faculty in the Department of Markets, Public Policy, and Law
- Teach undergraduate courses and graduate courses in business analytics using Python and R programming languages
- Contribute to cross-disciplinary curriculum development activities
- Develop executive education programs in the areas of digital marketing, artificial intelligence, and machine learning.
- Conduct and publish research in areas of business analytics such as Digital Marketing, Artificial Intelligence, Machine Learning, or Data Analytics.
- Present at conferences and seminars in other research universities
Requirements:
- Must have Ph.D. in Core Business oriented discipline (Marketing, Economics, Information Systems, Finance, Operations Management, or Management). Will also accept a Ph.D. in Data Science, Computer Science, or Statistics
- Must have 6 years of experience teaching business analytics courses using Python and R programming languages, and statistical programs such as SPSS, AMOS, Stata, and SAS, including a course on quantitative methods of machine learning and data science. Teaching can be at the post-secondary level or in non-degree corporate/executive training programs.
- The stated experience must also include conducting research in the areas of business analytics such as Digital Marketing, Artificial Intelligence, Machine Learning, or Data Analytics.
Employer Contact: [email protected]
We are an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, physical or mental disability, sexual orientation, gender identity, genetic information, military service, pregnancy or pregnancy-related condition, or because of marital, parental, or veteran status. We are a VEVRAA Federal Contractor.
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Job Location: Boston, Massachusetts, United States
Position Type: Full-Time/Regular
Salary Grade: Based on experience