The Remote Quantitative Research Intern position will be tasked with completing a quantitative research project to assist the club’s Football Information department in identifying key insights. Most of the work in this role will be completed independently, with significant flexibility in scheduling.
Qualifications
- Passion for the game of football
- Intellectual curiosity and enthusiasm for answering questions with data
- Ability to build statistical models in R or Python required
- Coursework in statistics and/or machine learning required
- Strong quantitative intuition
- Self-directed, proactive, and able to work independently
Optional Supplemental Materials
- If you have a deliverable from a prior data analytics project (e.g., an NFL Big Data bowl submission, thesis or class paper, well-documented GitHup repo, blog post, presentation slides, or detailed Twitter thread), please include it in or a link with your application
- If you do not have any relevant projects, we do not expect you to complete one for the purpose of this application
Time Commitment
This is a remote, part-time position. Interns will focus on a single football research project over a 10-week period. Over the course of the 10 weeks, the intern will be expected to spend an average of 15 hours a week working on the project. The role is open to anyone who can meet this time commitment.
Requires R or Python statistical modeling, statistics or machine learning coursework, quantitative intuition, intellectual curiosity, football interest, and self-directed independent work.
Key Responsibilities
- building statistical models
- conducting research
- identifying insights
Skills & Tools
R, Python, machine learning, GitHub
Job Details
- Category: Research and Development (R&D)
- Seniority: No Prior Experience Required
- Commitment: Part Time, Internship
- Workplace: Remote — Allen Park, Michigan, United States
- Languages: English
About Detroit Lions
A professional football organization representing Detroit and Michigan through sports, entertainment, and community engagement. — Industry: Media and Communications