REEL ANALYTICS FOR REAL EVALUATORS
PROPRIETARY IGA SCORE
Reel Analytics’ proprietary IGA Score is a measure of in-game athleticism derived from position-specific athleticism metrics extracted by our tracking technology. To train our scoring model, we measured the in-game athleticism of over 15,000 college and NFL players for current and historical context. Each metric is weighted, contextualized by percentile rankings, and scored.
NFL scouts, NFL agents, and major college football programs integrate our IGA Score to add objectivity into their player evaluation process.
REEL ANALYTICS’ SOLUTIONS FOR SCOUTS AND COACHES.Improve your hit-rate by incorporating position-specific in-game athleticism metrics into your evaluation process.
REEL ANALYTICS’ SOLUTIONS FOR SCOUTS AND COACHES.Improve your hit-rate by incorporating position-specific in-game athleticism metrics into your evaluation process.
REEL ANALYTICS’ SOLUTIONS FOR FANS AND MEDIA.
Deeper insights into players for fans and fantasy football owners.
Description
Job Title: Player Personnel Data Science Intern
Department: Analytics
Reports To: Co-Founder & CEO
Primary Objective: Working at Reel Analytics you will be fully immersed in our analytics department, and given the resources to learn, grow, and develop over the course of the internship. You will be using Reels Analytics’ proprietary software tools to analyze and evaluate high school football and transfer portal prospects, providing vital performance data to analysts, recruiters and coaches.
Essential Functions:
- Provide support in all areas of player evaluation, including, but not limited to, regression analysis, data labeling, data visualization and administrative tasks
- Collaborate with IT department to enhance, organize, and/or develop tools to support player evaluation processes
- Help with player evaluations through different research methods, backed with evidence through data and statistical analysis
- Support other departments as needed, such as Social Media Marketing
- Provide additional statistical and video analysis, advanced scouting reports, and administrative reports if needed
- Take initiative and bring creative ideas to help improve the organization
Education and Experience:
- Bachelor's degree strongly preferred
- Knowledge of SQL language, statistical modeling, or ML algorithms in R or Python
- Background in player evaluation is a plus; but not required
- Background in computer vision related technology is a plus; but not required
Competencies, Knowledge, Skills and Abilities (KSA's):
- Working knowledge of statistical football data and its application(s)
- Working knowledge of football positions, strategy and current in-game management trends
- Proficiency in Microsoft Excel & PowerPoint
- Excellent interpersonal skills with proven ability to work in a fast-paced environmentv
- Self-motivated with a high degree of integrity; takes personal responsibility for getting things done in a way that positively and professionally represents the organization
- Demonstrated initiative; thinks creatively and takes actions that create a positive outcome for the team
