Data Scientist

PropTrack is Australia’s leading source of property insights, digital valuation solutions, and predictive analytics. The PropTrack Data Science Team will focus on experimenting with new statistical and machine learning techniques, optimising existing models, and prototyping new models. The role will involve working collaboratively with ML Engineers to productionise all model improvements as we aim to empower every property journey with trusted insights, AI, and seamless experiences​.

REA is evolving how it leverages AI and data to deliver benefits for customers. Following significant growth in recent years, we are now looking for an experienced Data Scientist to help enhance our existing residential property Automated Valuation Model (AVM), extend our suite of market metrics, and build innovative, customer focused products.

Contribute to design and development of AI solutions using AWS, Docker, Python, BigQuery, and other technologies.

Apply domain knowledge to extract, manipulate and process data from multiple sources and assemble datasets for modelling

Finding or engineering new features that can be ingested into PropTrack’s AI platform

Prototyping and building new statistical and machine learning models to improve model performance

Hyperparameter tuning and cross-validating model performance

Develop and maintain model visualisation tools for analytics and business support

Document projects and processes on Confluence and Git repositories

Project presentations within the data science team and to broader REA audience

Tertiary qualifications in data science, econometrics, statistics, mathematics, or related discipline with a numerical/quantitative focus OR equivalent experience.