Les missions du poste
Job Description
At SkillCorner, we're transforming the way sports are analyzed and understood. From football (soccer) to basketball and American football, our mission is to empower teams and organizations with advanced, data-driven insights to make smarter decisions and gain a competitive edge.
Using broadcast (TV) video feeds from games, our AI-powered platform analyzes every aspect of play, extracting detailed performance data for every player on the field or court. We take pride in being a global leader at the intersection of AI and sports, helping teams unlock actionable insights to optimize strategies, enhance performance, and shape the future of the game.
Team Description
The Computer Vision team aims to capture all the information about the game displayed on screen. It begins by producing precise and high-quality tracking data, leveraging advanced Deep Learning and state-of-the-art Computer Vision techniques to extract the location, movements, and identity of every player and the ball directly from broadcast video. Building on this foundation, we are expanding our capabilities to include automated event detection, enabling richer, contextual understanding of the game.
Job description
We are looking for an experienced Data Scientist to capture high interest in-game events from basketball games. In this role, you will leverage state-of-the-art Deep Learning to extract high-level semantic information from the court-specializing in complex multi-agent interactions like post-ups and defensive rotations. You will own projects end-to-end-from problem definition and model design to deployment-ensuring high model performance and delivering valuable outcomes. We value curiosity, a hands-on approach to model design, and the technical maturity to take initiatives from conception to scale.
This position offers a rare balance between advanced R&D and real-world application. You'll have the freedom to explore and develop innovative solutions, knowing that your work will quickly transition from research to production, directly impacting sports teams and organizations worldwide.
Le profil recherché
Preferred Experience
Preferred experience
Master's degree or PhD in Engineering, with a focus on Machine Learning and Deep Learning
4+ years of hands-on experience in Deep Learning
Strong knowledge of Deep Learning (GNN, Transformers)
Excellent communication skills in English and in French
Creative problem-solver
Great interpersonal skills and a strong team-oriented mindset.
Basketball enthusiast
Why Join Us?
Be part of a rapidly growing startup at the cutting edge of AI and sports analytics where innovation, creativity, and teamwork drive success.
Work on innovative R&D projects that quickly move into production.
Collaborate in a dynamic and diverse team of junior talents and senior experts, including PhDs.
Receive a competitive salary that reflects your skills and expertise.
Enjoy a flexible work setup with offices in St Lazare, Paris and up to two days of home-office per week.
Benefit from perks like lunch tickets (ticket-restaurants) and Gymlib subscription
Recruitment Process
Telephone / Visio interview: 30min
Technical interview : 1h
Technical Test
Culture fit interview: 1h
Additional Information
- Contract Type: Full-Time
- Location: Paris
- Experience: > 4 years
- Occasional remote authorized
Bienvenue chez SkillCorner
About
SkillCorner collecte de la data sportive de manière 100% automatique à partir d'une simple vidéo de match de sport professionnel.
La société, aujourd'hui leader mondial dans son domaine d'expertise, développe des algorithmes de Computer Vision et de Machine Learning qui permettent de détecter tous les objets mouvants (chaque joueur, le ballon et l'arbitre) sur l'image, de les localiser sur le terrain, de les suivre image après image et de les reconnaître. A partir de ces données brutes, SkillCorner produit des indicateurs de performance, d'intelligence de jeu et des visualisations qui sont utilisés par les clubs, les fédérations nationales et les agences de joueurs.
SkillCorner couvre plus de 150 compétitions (féminines et masculines) et possède plus de 100 milliards de points de données sur plus de 100 000 joueurs professionnels. Plus de 250 équipes de football, de basketball et de football américain à travers le monde utilisent quotidiennement sa donnée à des fins de recrutement, d'analyses de jeu et de l'adversaire.
Publiée le 23/04/2026 - Réf : 65faacc8c99d6543b0e483c887c38f00
