Principal Data Scientist handling scenario planning and optimization across the organization at HP. Driving adoption of AI - based scenario engines and mentoring teams in data science.
About the role
- Data Scientist developing machine learning and AI solutions at STATSports. Turning GPS and IMU sensor data into actionable insights for athlete performance and decision-making.
Responsibilities
- Designing, building, and deploying machine learning (ML) and AI models to extract insights from GPS and IMU sensor data
- Developing efficient ETL workflows to ensure data is extracted, transformed, and loaded for analysis
- Analysing large datasets to uncover trends, patterns, and insights that support athlete performance and team decisions
- Conducting experiments and validating models to ensure reliability and accuracy
- Monitoring and refining models over time to improve performance and efficiency
- Collaborating closely with software engineers, product owners, and other stakeholders to integrate data-driven solutions into our products
- Staying up to date with the latest developments in data science, ML, AI, and cloud technologies to drive innovation
- Presenting insights clearly to cross-functional teams and supporting data-informed decision making
Requirements
- Have a degree or relevant experience in Data Science, Engineering, Mathematics, Statistics, Computer Science, or a related field
- Are proficient in Python for data analysis and model development
- Have experience working with SQL and relational databases such as SQL Server or MySQL
- Have proven experience developing and deploying data science, ML, or AI solutions in a production environment
- Are familiar with ETL processes and tools
- Can analyse large datasets from cloud platforms (AWS, Azure, GCP) and extract meaningful insights
- Have strong analytical and problem-solving skills
- Enjoy collaborating with cross-functional teams and communicating complex findings clearly
Benefits
- A hands-on role where your work directly influences products used in elite sport
- The opportunity to work with cutting-edge datasets and develop innovative ML/AI solutions
- Exposure to the full software lifecycle, from data ingestion to deployment in production
- 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
Job title
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