Data Scientist (Women's First Team)

Data Scientist (Women's First Team) - Be Part of a Legacy Bigger Than the Game

At Al-Qadsiah Club we’re creating more than teams—we’re crafting a legacy that goes beyond the game, making an impact both on and off the field. Driven by ambition, synergy, and innovation, we aim to inspire generations while shaping the future of Saudi sports.

This is more than just a job—it’s an opportunity to be part of something larger than yourself. At Al-Qadsiah, you’ll play a key role in shaping our legacy, contributing to the nation’s sports vision, and making history every step of the way.

Overview:

As the Data Scientist at Al-Qadsiah Club, you will play a central role in the collection, management, integration, and interpretation of performance and medical data across the Women’s First Team. You will lead the development and optimisation of the club’s Athlete Management System (AMS), transforming complex multidisciplinary data into actionable insights that support performance enhancement, injury risk management, and informed decision-making across the football department.

Key Responsibilities:

Performance Data Management

• Oversee the collection, quality control, and management of all performance and medical data within the first team
• Maintain and expand the club’s Athlete Management System (AMS) to integrate multiple performance and medical data streams
• Manage data relating to GPS, wellness, force plate testing, injury records, strength diagnostics, training exposure, and match performance
• Ensure data governance, consistency, accessibility, and integrity across departments

AMS Development and Integration

• Lead the development and optimisation of the club’s AMS infrastructure
• Integrate multiple technologies, platforms, and databases into a unified performance system
• Automate data collection and reporting pipelines to improve efficiency and reduce manual processing
• Develop custom dashboards and reporting tools using platforms such as Power BI, Tableau, and AMS reporting interfaces

Performance Data Visualisation and Decision Support

• Design clear, actionable dashboards and visualisations for coaches and support staff
• Produce daily, weekly, and match-cycle reports covering training load, readiness, neuromuscular status, injury risk, and physical outputs
• Translate complex datasets into practical recommendations that support coaching decisions
• Provide meaningful insights that influence player monitoring and performance planning

Technical and Tactical Data Integration

• Collaborate with performance analysts to integrate physical data with technical and tactical outputs from platforms such as Hudl and Impect
• Develop datasets linking physical performance metrics with tactical phases of play and match context
• Analyse position-specific physical demands and high-intensity actions within football performance frameworks
• Support opposition analysis and match review processes by contextualising physical outputs within tactical performance

Research and Innovation

• Remain current with emerging research and applied methodologies in sports science and football analytics
• Lead and support applied research projects within the club
• Identify and implement innovative technologies and analytical approaches that improve player monitoring and decision-making
• Drive continuous improvement through evidence-based practice and innovation

Collaboration and Multidisciplinary Support

• Work closely with medical, rehabilitation, strength and conditioning, nutrition, and technical analysis staff
• Facilitate effective information sharing across departments through structured reporting and communication
• Support the alignment of physical periodisation with football methodology and tactical objectives
• Contribute to an integrated high-performance environment focused on player development and availability

Qualifications

Desirable:

• PhD in Sport Science, Data Science, Performance Analysis, Sport & Exercise Physiology, or a related discipline
• Experience working within women’s football environments
• Experience leading applied research projects in elite sport
• Advanced knowledge of AI applications within sports performance environments

Skills, Knowledge and Experience:

Essential:

• MSc in Sport Science, Performance Analysis, Data Science, Sport & Exercise Physiology, or a related discipline
• Minimum five years’ experience working within elite football environments
• Experience leading performance science, data, or monitoring functions
• Strong knowledge of performance monitoring technologies and athlete tracking systems
• Experience managing and developing Athlete Management Systems (AMS)
• Proficiency in coding, automation, and data science methodologies
• Advanced data analysis, interpretation, and visualisation skills
• Experience building dashboards and decision-support tools
• Strong understanding of football tactical structures and performance demands
• Ability to communicate complex concepts clearly to coaches and non-technical stakeholders
• Excellent organisational and project management skills
• Collaborative mindset with experience working in multidisciplinary environments

Desirable:

• Experience integrating physical, technical, and tactical data sources
• Experience using platforms such as Hudl, Impect, Power BI, Tableau, and other visualisation tools
• Strong research background with published or applied performance projects
• Experience operating within high-performance football environments undergoing rapid growth and development

Why Join Al-Qadsiah?

Be Part of the Legacy: Join a club that’s redefining the future of Saudi sports, striving to lead the competition and set new standards of excellence.

Experience the Culture: Thrive in an environment that values quality, accountability, diversity, synergy, innovation, and ambition, while embracing harmony—this is the Qadsiah Way.

The Executives in Sport Group are retained on behalf of Al Qadsiah SC to make this appointment. All direct applications and CVs will be forwarded to The Executives in Sport Group.

If this role is of interest, then please press the apply button and include a copy of your CV.