Senior Football Data Scientist

SkillCorner SAS; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Remote work within European time zones

Paris office visits

Job summary

SkillCorner SAS is seeking a Senior Data Scientist in Paris to develop game-intelligence and performance metrics. You will lead modelling projects end-to-end, building ML/DL models and working with high-volume football data to deliver robust solutions for clubs and analysts.

You will collaborate across teams, own production pipelines, and communicate choices clearly to technical and non-technical audiences while contributing to the team’s direction and standards.

Qualifications

• Extensive experience applying data science, ML and DL to real-world problems.
• Strong Python skills for analysis, modelling and production-oriented development.
• Direct experience with football tracking and event data or similar high-volume datasets.
• Experience taking models from research into production, owning complete pipelines.
• Attention to detail; familiarity with cloud providers and production infra.
• Understanding of football and how technical work maps to questions.
• Ability to work with ambiguity, make defensible modelling choices and assess uncertainty.
• Excellent English communication; French would be an advantage.
• Collaborative, proactive and capable of leading projects.

Responsibilities

• Lead modelling projects end to end, from problem definition through deployment and improvement.
• Develop and improve ML/DL models for player evaluation and tactical analysis.
• Work with high-volume spatiotemporal data, addressing missing data, noise and bias.
• Navigate ambiguous problems, balancing research with pragmatic client needs.
• Collaborate with data scientists, engineers, analysts, football specialists and clubs.
• Help shape the team’s technical direction and mentor colleagues.

Skills

Python

Data science

Machine learning

Deep learning

Production pipelines

Football analytics

Cloud infrastructure

English communication

Team leadership

Job description

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.

As a Senior Data Scientist, you will develop the models behind SkillCorner’s game-intelligence and physical-performance metrics. The problems are often challenging and open-ended, so you will need to make defensible modelling decisions, assess uncertainty and build solutions that can be trusted in real football environments.

Key responsibilities

• Lead modelling projects end to end, from problem definition and data exploration through development, evaluation, deployment and ongoing improvement.

• Develop and improve machine-learning and deep-learning models for player evaluation, tactical analysis, predictive metrics and other applications involving player and team behaviour.

• Work with high-volume, high-frequency and spatiotemporal data, addressing issues such as missing data, noise, bias and model reliability.

• Navigate ambiguous problems, balancing research ambition with pragmatic solutions that meet genuine client needs.

• Collaborate with data scientists, engineers, analysts, football specialists, business stakeholders and professional clubs to turn football questions and client requirements into robust solutions.

• Help shape the team’s technical direction and standards, communicate modelling choices and limitations clearly to technical and non-technical audiences, and support less experienced colleagues.

You should have:Extensive professional experience applying data science, machine learning and deep learning to complex real-world problems, with strong Python skills for analysis, modelling and production-oriented development.Direct experience working with football tracking and event data, or comparable high-volume, high-frequency and spatiotemporal datasets, with a clear understanding of their practical challenges.Experience taking models from research into reliable production systems, including ownership of complete pipelines from data preparation and feature engineering through deployment, monitoring and maintenance. Attention to detail and familiarity with cloud providers and production infrastructure are expected.A strong understanding of football and the ability to connect technical work to meaningful questions involving player roles, tactics, phases of play or team behaviour.The ability to work effectively with ambiguity, make defensible modelling choices, assess uncertainty and balance technical ambition with pragmatic delivery.Excellent communication skills in English, with the ability to explain complex analyses, modelling choices and limitations to technical colleagues, business stakeholders and professional football clubs. French would be an advantage.A collaborative and proactive approach, with the ability to lead projects independently, make informed trade-offs, share ideas early and support less experienced colleagues.

Nice to have:Experience with football analytics or presenting analytical work to football clubs.Location:Paris, France preferred, with regular visits to our Paris office. Remote work is possible within European time zones.