Make an impact bringing your ideas and solving complex problems in a collaborative, supportive team!
Work on projects impacting millions of users!
Permanent full time role based in Richmond, Sydney or Fortitude Valley

We're REA
With bold and ambitious goals, REA Group is changing the way the world experiences property. No matter where you're at on your property journey, we're here to help with every step - whether that's finding or financing your next home.

Our people are the key to our success. At the heart of everything we do, is a thriving culture centred around high performance and care. We are purpose driven and collaborative, which drives innovation and our ability to make a real impact. As such, we’re proud to have been named in Australia’s “Top 5” Best Workplaces two years in a row, as well as being recognised as a Best Workplace for Women.

Where the team fits in

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.

What the role is all about

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

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Data Scientist