The Detroit Lions/Strength in Numbers Analytics Mentorship Program

ABOUT US:The Lions, much like the city and community they represent, are built on a blue-collar work ethic that values hustle and conviction.Ford Field, the home of the Lions since 2002 in the heart of Detroit, is part of a vibrant sports and entertainment district featuring all four major professional sports franchises. Ford Field is also home to a dedicated and passionate multi-generational fan base reflective of the innovation, creativity and drive synonymous with Detroit.Under the leadership of Sheila Hamp, the great granddaughter of Henry Ford, the Lions have ushered in an era of rebirth focused on creating an inclusive and equitable experience for employees, partners and fans. Building off the rich and diverse history of the city, the Lions embrace transparency and value contribution from all areas of the organization. We believe in the power of a pride, and acknowledge winning together takes understanding, acceptance, and teamwork. We believe in our “we” culture and are committed to building a new tradition that Detroit and Michigan can be proud of.One Pride. For All.The Detroit Lions are partnering with the non-profit, Strength in Numbers, to create a Detroit Lions Analytics Mentorship Program designed to offer underrepresented students that attend Wayne State University, University of Detroit Mercy, and University of Michigan Dearborn an opportunity to get hands on experience in the sports analytics industry. Students selected in this 3-month program will have one or two projects assigned to them over the course of the program from the Detroit Lions Football Information and Strategy & Analytics departments. Students that complete the program will receive a $500 stipend. A total of 6-8 students will be selected. The program will begin in the Fall ’24 semester (October).Students who are interested in applying for the Detroit Lions Analytics Mentorship Program must submit all required materials below. Applications will be open through September. Note: Students will not receive credit hours for completing this program.Analysis Qualifications• Currently pursuing Bachelor’s or Master’s Degree in Mathematics, Statistics, or a related field• Familiarity with statistical programming in Python and/or R• Familiarity with, or curiosity about, data visualization• Interest in or curiosity about footballSoftware Qualifications• Currently pursuing Bachelor’s or Master’s Degree in Software Engineering, Computer Science, or a related field• Familiarity with programming languages, such as Python, Javascript, C#• Familiarity with, or curiosity about, database technologies• Interest in or curiosity about footballTO APPLY:To apply, please submit a copy of your resume along with a cover letter detailing your interest and related experience to the position.Due to the high volume or resumes received, we regret that we are unable to update candidates on the status of their application. Those selected for further consideration will be contacted. Please no phone calls or emails.