Part-time Research Associate / Assistant I/II / Technical Assistant (Project no: R6935) (B&A)
Hong Kong Metropolitan University
- Department
- Lee Shau Kee School of Business and Administration
- Rank
- Research Assistant/Associate
- Position type
- Part-time
- Reference
- 260023Z
- Application deadline
- 2 Oct 2026
Duties & Responsibilities
- Manage large-scale datasets by collecting, organizing, merging, and cleaning consumer behavior data from multiple sources using Python and data engineering tools.
- Develop and maintain automated web scraping pipelines to extract consumer behavior data from websites, platforms, and APIs.
- Conduct quantitative and qualitative data analyses including feature engineering, model building, and interpretation of empirical results.
- Prepare research deliverables including summaries, visualizations, and reports based on empirical findings.
- Support ongoing consumer behavior research projects and ensure timely execution of computational tasks.
Requirements & Qualifications
- Bachelor's degree in marketing, information systems, data science, computer science, psychology, or related field.
- Strong Python proficiency with data processing libraries (pandas, NumPy), web scraping tools (BeautifulSoup, Selenium, Scrapy), and API handling.
- Experience in web scraping and constructing panel datasets for consumer behavior or digital marketing research.
- Advanced data analysis skills with experience in statistical modeling, machine learning basics, and empirical analysis.
- Hands-on experience with large datasets including data cleaning, transformation, and pipeline management.
- Proficiency in academic research including literature review and understanding of consumer behavior theories.
Appointment
- Part-time, temporary contract.
Key Dates
- Closing date: 2026-10-02