Hybrid Data Scientist: AI for Property Insights

REA Group Sydney, AUS; Sydney; On-site; AUD 120,000 - 170,000; Full time

Benefits offered by this job

Hybrid & flexible work

Birthday leave & flexible leave

Parental leave

Charity & community programs

Hackdays

Job summary

PropTrack is part of REA Group, Australia’s leading property insights and analytics business, focused on building scalable AI models for property valuation and analytics. This role contributes to designing and deploying statistical and machine learning solutions in collaboration with ML engineers to deliver trusted insights across property journeys.

The data science team works with large, diverse datasets and modern tools to prototype, validate, and productionise models, improving accuracy and

Qualifications

• Tertiary qualification in data science, econometrics, statistics, mathematics, or related discipline.
• 2+ years industry experience in Data Science, ML engineering, Data Analyst or similar roles.
• Proficiency in SQL & Python and production deployment experience.
• Experience with CI, infrastructure as code, containerisation.
• Strong CS fundamentals and experience with Git/Jira/Confluence.
• Attention to detail and data quality.

Responsibilities

• Design and develop AI solutions using AWS, Docker, Python, and BigQuery.
• Prepare data from multiple sources and build modelling datasets.
• Engineer features for PropTrack’s AI platform.
• Prototype and deploy new ML models to improve performance.
• Tune hyperparameters and validate models.
• Create model visualisation tools for analytics.
• Document projects on Confluence and Git.
• Present results within the data science team.

Skills

SQL & Python

Production ML models

Data Visualization

Git & Atlassian tools

BigQuery

Pandas/Numpy

AWS

CI/CD

Team collaboration

Education

Tertiary qualification in data science or related

Tools

AWS

Docker

BigQuery

CI/CD

Git & Confluence

Job description

PropTrack is part of REA Group, Australia’s leading property insights and analytics business, focused on building scalable AI models for property valuation and analytics. This role contributes to designing and deploying statistical and machine learning solutions in collaboration with ML engineers to deliver trusted insights across property journeys.

The data science team works with large, diverse datasets and modern tools to prototype, validate, and productionise models, improving accuracy and