Data Science Team Lead — Football SkillCorner
Collecte de données sportives automatiques à partir de vidéos de matchs.
CDI
Paris
Télétravail fréquent
Salaire : non spécifié
Les compétences que l’on cherche
Communication
Machine learning
Collaboration et travail d'équipe
Python
Votre nouvelle entreprise
100 collaborateurs
Software
Artificial Intelligence / Machine Learning
Sports
Âge moyen : 32
Créée en 2016
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.
Vos missions au quotidien
About SkillCorner
SkillCorner is a sports-technology company using artificial intelligence and computer vision to turn broadcast, tactical and wide-angle video into automated player and ball-tracking data. Our technology helps professional clubs and organisations make better-informed decisions across recruitment, scouting, performance analysis and football strategy.
The Prediction Team combines tracking and event data to develop advanced game-intelligence and physical-performance metrics. We use machine learning and deep learning to understand player and team behaviour, and to turn complex football data into insights that support real-world decision-making.
The role
As a Data Science Team Lead, you will manage a team of Data Scientists while remaining an active technical contributor. You will be accountable for the team’s delivery, technical quality, performance, development and wellbeing.
This is a management role with a significant technical component. You are expected to remain technically credible and contribute to complex work, but success will be measured primarily by the effectiveness, development and sustainable performance of the team, not only by your individual technical output.
You will:
Manage and develop a small team of Data Scientists through clear expectations, regular feedback, one-to-ones, career conversations and performance reviews.
Own team priorities, planning, workload allocation, capacity and delivery commitments.
Lead complex Data Science projects while remaining technically involved in modelling, experimentation, reviews and problem-solving where appropriate.
Set technical direction and maintain high standards across modelling, production, documentation and evaluation.
Balance research ambition, technical quality, maintainability, delivery constraints and genuine client needs.
Delegate effectively, and create opportunities for ownership and collaboration for optimal delivery.
Support hiring, onboarding, promotion, succession planning and the development of future technical leaders.
Work closely with Engineering, Football Methodology, Analysis, Product, clients and other stakeholders to ensure that the team’s work is meaningful and adopted.
Communicate priorities, progress, risks, dependencies, capacity and resource needs clearly.
Ce que l’on cherche
You should have:
Extensive professional experience applying Data Science, Machine Learning and Deep Learning to complex real-world problems, with strong modelling and Python skills.
Experience leading complete Data Science projects from problem framing through production and ongoing improvement.
xperience with football tracking and event data, or comparable high-volume, high-frequency and spatiotemporal datasets.
Strong technical judgement across modelling, data quality, uncertainty, production reliability, technical debt and delivery trade-offs.
A good understanding of football and the ability to connect technical work to meaningful questions about players, teams and tactics.
Experience providing technical leadership through project leadership, reviews, mentoring or setting technical standards.
Demonstrated experience managing, coaching or developing Data Scientists or other technical practitioners, including feedback, career development, delegation and performance management.
Excellent communication skills in English (French is an advantage) with a demonstrated ability to explain complex modelling to non-technical audiences.
A collaborative and proactive approach, with a genuine interest in people management and developing technical talent.
Nice to have:
- Experience with football analytics or presenting analytical work to football clubs.
Nos étapes de recrutement
1. Introductory conversation : a short call to discuss your background, motivations and the role.
2. Technical discussion: a conversation about your experience with management, data science, machine learning, football data and production systems.
3. Practical case study & Team conversations
- A technical exercise or discussion based on a realistic data science problem.
- Meetings with members of the Prediction Team and team management to discuss collaboration, communication and how you could contribute.
We will share the format and expectations for each stage in advance.
