Hudl - Senior Data Scientist - Athlete Performance

• We're hiring a Senior Data Scientist to join our Athlete Performance team in London. You'll be partnering with world class sports scientists and engineering teams to build algorithms and derive insights from wearable sensors, optical tracking and GPS data that directly impact how athletes train and compete, from local high schools to professional teams. • For this role, we're currently considering candidates who live within a commuting distance of our offices in London or Barcelona. • As a Senior Data Scientist, you’ll: • Create and improve algorithms. You'll use your expertise in signal processing to run mathematical and statistical operations on raw sensor and GPS data. Your work will help us derive high-value metrics around human movement classification and physical load quantification, turning raw data into actionable insights for our users. • Create and improve algorithms. • Deliver insights at scale. You'll build and deploy models that provide contextualized data to sports scientists, coaches and recruiters. • Deliver insights at scale. • Collaborate across teams. You'll work closely with internal product and engineering teams to integrate optical tracking and wearable data, ensuring our products meet the highest standards. • Collaborate across teams. • Lead high-impact projects. You'll own initiatives that meet quarterly goals and help shape the future of athlete performance tracking at Hudl. • Lead high-impact projects. • Must-Haves • Strong mathematical background. You're highly skilled in statistical operations and physics-based calculations used to analyze large datasets. • Strong mathematical background. • Proven track record. You've built, maintained and monitored complex AI or ML models in a production environment at scale. You have experience with model observability and managing data drift to ensure long-term performance. You're also comfortable with CI/CD for ML (like MLflow or TFX) and know how to write effective unit tests for stochastic processes. You have a background in biomechanical modeling and signal processing. • Proven track record. • Multi-modal time series expertise. You have demonstrable experience working with multi-modal time series data for deep learning-based analysis and forecasting, and can apply these techniques to derive meaningful insights from complex sensor data streams. • Multi-modal time series expertise. • Product-focused. You understand how to translate raw data into actionable insights that solve real problems for coaches and athletes. • Product-focused. • Nice-to-Haves • Wearable and GPS expertise. You have experience working with wearable devices, IMU sensors, GPS tracking and biometric data. • Wearable and GPS expertise. • Subject matter expertise. You have a deep understanding of biomechanics or exercise physiology and know how to apply these domains to create meaningful performance insights for athletes. • Subject matter expertise. • Knowledge of foundational models. You have experience fine-tuning visual or large language models for new domains. • Knowledge of foundational models. • Real-time systems experience. You're comfortable working with models designed for low-latency environments.