Data Scientist

Contract: Full‑Time, Permanent

Desired Start Date: August 2026

Location: Both hybrid and remote opportunities with travel for business/project needs

About STATSports: Since 2007, we’ve grown from a small Irish start‑up into the global leader in GPS performance tracking, trusted by the world’s biggest clubs, leagues, and athletes.

What You Will Be Doing

• Developing and deploying machine learning and AI solutions using data from our GPS and IMU sensor technologies
• Designing, building, and maintaining ETL workflows to support data ingestion, transformation, and analysis at scale
• Analysing large Electronic Player Tracking System datasets to identify trends, patterns, and actionable insights
• Conducting experiments and validating models to ensure they meet performance and quality standards
• Monitoring, evaluating, and refining models to improve accuracy, reliability, and efficiency over time
• Collaborating with software engineers, product owners, and stakeholders to integrate data‑driven solutions into our products
• Staying current with advancements in data science, machine learning, AI, and related technologies to drive innovation across the business

What We Are Looking For

• Degree or equivalent experience in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field
• Strong proficiency in Python
• Experience working with relational databases and technologies such as SQL and MySQL
• Familiarity with ETL processes and data pipeline development
• Strong analytical and problem‑solving skills, with experience working with large and complex datasets
• Experience retrieving, analysing, and visualising data from cloud platforms such as AWS, Azure, or GCP
• Excellent communication and collaboration skills, with the ability to work effectively across cross‑functional teams

Nice to Have (But Not Essential)

• Experience using data visualisation tools such as Tableau or Power BI
• Experience working with sports performance data or Electronic Player Tracking Systems (EPTS)
• Familiarity with modern machine learning operations (MLOps) practices
• Knowledge of time‑series analysis, sensor data processing, or predictive analytics

What’s In It for You

• A hands‑on role where your work directly influences products used in elite sport
• Exposure to the full software lifecycle, from data ingestion and experimentation through to production deployment
• Collaboration with engineers, product owners, and data specialists in a supportive, high‑performance team
• The chance to see your work applied to real‑world athlete performance and decision‑making

Equal Opportunity Employer

STATSports is an equal opportunity employer. We particularly welcome applications from women and underrepresented groups.

#J-18808-Ljbffr…