DUTIES & RESPONSIBILITIES:
- Assist technical staff with data-driven projects.
- Prepare and clean datasets.
- Design and apply analytical methods to extract insight from existing datasets.
- Research industry-leading practices to provide analyses and insights.
DESIRED QUALIFICATIONS:
- Coding and visualization skillsets preferred (R, Python, Shiny, Ggplot2, Matplotlib etc.).
- Interest in working with and/or creating APIs.
- Interest in package management (R, GIT).
- Interest in data engineering, data science, and/or statistical modeling preferred.
REQUIREMENTS:
- Enrolled in an undergraduate or graduate program and eligible for college credit.
- Area of Study: Computer Science, Statistics, Mathematics, Economics, Engineering, Finance, Sports Analytics, or related field.
- Available 20-25 hours per week.
We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, sexual orientation, age, disability, gender identity, marital or veteran status, or any other protected class.