Football Research - Data Analyst H/F - 75

About

SkillCorner collects sports data 100% automatically from a single camera feed. The company, now a global leader in its field of expertise, develops Computer Vision and Machine Learning algorithms that can detect all the moving objects (each player, the ball and the referee) in the image, locate them on the pitch, track them frame by frame, and recognize them. From this raw tracking data, SkillCorner produces Performance indicators, Game Intelligence metrics, and Visualizations that are used by clubs, national federations, and player agencies.

SkillCorner covers more than 150 competitions (both Women's and Men's), holds over 100 billion data points on more than 100 000 professional players. Trusted by more than 250 football, basketball and American Football teams worldwide, redefining their performance analysis, scouting, and recruitment workflows.Job Description

HOW TO APPLY: If you're interested in this position, please fill in this . Only applicants that have responded to the form will be considered. Due to the high volume of interest, we can only provide personalized responses to candidates selected for an interview. Thank you for your understanding.

ONLY FORM APPLICATIONS WILL BE REVIEWED

SkillCorner is looking for analysts to support its research & development work. In this role, you will work with skillcorner and external data sources to develop frameworks and metrics to analyse players , teams and competitions with football data. The Research group focuses on surfacing trends and insights that are meaningful for data practitioners in football, while the Product group focuses on developing new metrics and supports product development

Core Responsibilities

- Create new metrics from innovative SkillCorner dynamic event data that capture player behaviors and support recruitment and player profiles
- Support product and AI teams in validation, testing and case-study development for new metrics
- Use historical data from multiple sources to identify key trends in football and develop analysis frameworks ( Team profiles, Match Reviews..)
- Collaborate with internal teams to develop player and competition scores to help evaluate levels of competitions and predict player transferability