Student | Data Science Intern — Mendoza Research Team
University of Notre Dame•Notre Dame, IN
•Onsite
About The Position
The Mendoza Research Team provides the technical and quantitative backbone for faculty research across Accountancy, Finance, IT Analytics & Operations (ITAO), Marketing, and Management & Organization (MNO). As a Research Data Science Intern, you will work directly alongside our team of full-time data scientists to support active, high-impact faculty research projects. This is a hands-on, highly collaborative role designed to offer direct mentorship, build your applied technical toolkit, and give you real-world experience in data pipelines and statistical modeling.
Requirements
- Currently enrolled Higher Education student in good academic standing.
- Proficiency in Python or R for data manipulation and analysis.
- Familiarity with data cleaning, basic statistical methods, and visualization tools.
- Strong attention to detail and an interest in academic or quantitative research.
- Currently enrolled undergraduate student, any major
- Coursework in statistics, econometrics, computer science, or analytics
- Working proficiency in Python or R
- Comfortable with (or eager to learn) tools like SAS, SQL, and Git
- Strong attention to detail and ability to follow data handling/confidentiality protocols
Nice To Haves
- Experience with Git/GitHub, SQL, or web scraping is a plus, but not required.
- Coursework in machine learning, causal inference, or experimental design
- Experience with large or messy real-world datasets
- Prior research assistant experience
Responsibilities
- Clean, merge, and validate complex research datasets, including financial/market data, administrative records, survey results, and web-scraped data.
- Assist in building, testing, and refining statistical and machine learning models.
- Write clean, reproducible code using standard data science languages (primarily Python and R).
- Design intuitive charts, plots, and summary tables to communicate findings effectively.
- Maintain clear documentation, data dictionaries, and organized code repositories using Git workflows.
- Participate in team check-ins and contribute to technical discussions with faculty researchers.
Benefits
- Compensation: Starting at $15/hour
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What This Job Offers
Job Type
Part-time
Career Level
Intern
