About the Role Our client, a sports technology startup, is seeking an experienced Data Scientist to join their growing team. This is a unique opportunity working with sports data and leading the end to end design and deployment of predictive models. This role is ideal for a Data Scientist with deep domain knowledge of global sports such as football, cricket or tennis. Key Responsibilities Build and validate predictive models (end to end) Research topics including signal decay, latency impacts, and model robustness Apply quantitative methods to surface structural edge in real-time markets Work with data engineers to test and deploy live features Monitor model performance, edge consistency, and prediction reliability Mentor junior researchers and interns as the team grows Skills and Experience Our client is seeking an experienced Data Scientist (minimum 3 years experience - or a PhD with industry experience) with experience in simulation modelling, time-series analysis and feature engineering. You must have experience in Python and be familiar with C# or C++ and ideally also have used data visualisation tools like Tableau or R Shiny. You must be based in Sydney and willing to work in the office for at least 2-3 days. As this is a new, growing startup focusing on sports, some weekend work is expected during the early phases. Why apply? This is a one-of-a-kind opportunity to contribute and shape a fast paced sports start-up from the ground up. You will be eligible for a bonus scheme that is linked to individual and team performance as well as other employee benefits including mentorship and learning opportunities. There is opportunity for this role to grow into a strategic leadership role in a deeply quantitative environment. How to apply? If you're a seasoned Data Scientist who is interested in sport and has experience working with real-time data who wants to help shape this startup working on cutting edge projects, we’d love to hear from you. Please note for this role you must have full Australian work rights or citizenship.