[Hiring] Senior Data Scientist @SkillCorner

Role Description

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.

• 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.

Qualifications

• 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.
• 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.

Requirements

• 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.

Recruitment process

• Introductory conversation: A short call to discuss your background, motivations and the role.
• Technical discussion: A conversation about your experience with data science, machine learning, football data and production systems.
• Practical case study and team meeting: A technical exercise based on a realistic data science problem, presented to the Prediction Team. You will also meet members of the team and team management to discuss collaboration, communication and how you could contribute.
• Final conversation: A short conversation to validate the practical aspects of the offer. We will share the format and expectations for each stage in advance.