Football Research/Data Analyst
il y a 4 jours
Football Research/Data Analyst at SkillCorner 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. How to Apply If you’re interested in this position, please fill in the form. 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. 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. Qualifications Undergraduate or graduate degree in data science, computer science, engineering, or a related field. 2 years minimum experience in a data analysis role. Excellent football (soccer) knowledge. Proficiency in Python, SQL, and cloud tools. Past experience in working with sports data and long‑term projects. Experience publishing academic or media research articles. Experience working in ambiguous environments with minimal supervision; a self‑starter who thrives on autonomy. Excellent analytical mindset, problem‑solving skills, and an ability to work collaboratively in teams. What Will Make You Stand Out A unique combination of football expertise and data analysis skills. Demonstrated modeling experience applied to sports. Demonstrated ability to use statistical methods for metric development. Demonstrated ability to produce long‑form analytical work and communicate results. Comfort working remotely while maintaining high productivity and effective communication. FORM and CV screening. Intro chat. At‑home case study and presentation. Seniority Level Entry level Employment Type Full‑time Job Function Other Industries IT Services and IT Consulting Referrals increase your chances of interviewing at SkillCorner by 2x. Boulogne‑Billancourt, Île‑de‑France, France #J-18808-Ljbffr
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