Missions
01
Design and develop AI models for sports performance analysis
02
Collect, clean, and structure sports datasets
03
Train and optimize machine learning and deep learning algorithms
04
Deploy predictive models to production in sports environments
05
Collaborate with business teams to translate needs into AI solutions
Career evolution
Lead Data Scientist or Head of AI
CTO of a SportTech startup
Senior AI Researcher
AI Solutions Architect
Job outlook
Rapidly growing demand across all sectors
Among the highest salaries in the digital market
Increasing AI applications in professional sports
Talent shortages favoring qualified candidates
Skills
Proficiency in Python, TensorFlow, PyTorch, and scikit-learnExpertise in statistics, probability, and linear algebraKnowledge of cloud architectures (AWS, GCP, Azure)Ability to process and analyze large data volumesUnderstanding of sports performance metrics
Education
Master's degree in Computer Science, Applied Mathematics, or Data Science
Master's or engineering degree specializing in artificial intelligence, machine learning, or data science. A PhD is an asset for research-oriented positions.
Workplaces
Sports technology companies (SportTech)
R&D departments of professional clubs
Startups specializing in sports analytics
Research labs focused on AI applied to sports
Major technology companies
Salary
4,000€/mois8,500€/mois
+10 XP