Data Scientist

REA Group Ltd.; Sydney; Hybrid; AUD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work model

Birthday leave

Parental leave

Volunteering leave

Hackdays

Job summary

REA Group Ltd. in Sydney seeks an experienced Data Scientist to enhance PropTrack’s AVM, expand market metrics and build innovative, customer-focused products.

You will design and deploy ML models, collaborate with ML engineers, and work with AWS, Python, SQL, and BigQuery to deliver trusted insights and seamless experiences.

A strong foundation in statistics and machine learning, 2+ years’ experience, and hands-on coding in Python are required.

Qualifications

• Tertiary qualifications in data science, econometrics, statistics, or related discipline; or equivalent experience.
• 2+ years industry experience in Data Science, ML engineering, Data Analyst or similar roles.
• Expertise in statistical modelling and machine learning theory.
• Strong Python programming skills and ability to write/read/debug/maintain code.
• Hands-on Python for data science with pandas, NumPy and scikit-learn.
• Proficient in SQL and handling large/complex datasets.
• Experience deploying models to production (CI, IaC, containerisation).
• Strong CS fundamentals in data structures, problem solving, algorithm design, and complexity analysis.
• Exposure to Git and Atlassian tools (Jira, Confluence).
• Team player with structured approach to building/testing models.
• Data handling skills and ability to identify data quality issues.

Responsibilities

• Design and develop AI solutions using AWS, Docker, Python, BigQuery and related tech.
• Extract, manipulate and assemble data for modelling from multiple sources.
• Engineer features for ingestion into PropTrack's AI platform.
• Prototype and build new ML models to improve performance.
• Tune hyperparameters and validate model performance.
• Develop model visualization tools for analytics and business support.
• Document projects on Confluence and in Git repositories.
• Present projects within the data science team and to REA audiences.

Skills

Python

SQL

Machine learning

Statistical modelling

Data processing

Education

Tertiary qualifications in data science, econometrics, statistics, or related discipline

Tools

Git

Jira

Confluence

Docker

BigQuery

Job description

• Make an impact bringing your ideas and solving complex problems in a collaborative, supportive team!
• Work for a leading property brand impacting millions of users!
• Permanent full time role based in Sydney

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.

Which team is this 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.

Day to day of the job

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

Who we’re looking for

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

2+ years industry experience working in Data Science, ML engineering, Data Analyst or similar roles

Expertise in statistical modelling and machine learning theory

Has strong Python programming skills and can independently write, read, debug and maintain code

Has hands‑on experience using Python for data science or machine learning, including libraries such as pandas, NumPy and scikit-learn

Proficient in SQL and experience working with large or complex datasets.

Experience building and deploying models to production environments (CI, infrastructure as code, containerisation)

Strong Computer Science fundamentals in data structures, problem solving, algorithm design, and complexity analysis

Exposure to Git and Atlassian product suite (Jira, Confluence)

Team player capable of working collaboratively as well as individually

A structured approach to building, testing, and iterating on statistical models

Data handling skills, including cleaning, analysing, and interpreting large data sets, and an intuitive sense for identifying when the data is incorrect or inconsistent.

Strong attention to detail.

The REA experience

The physical, mental, emotional and financial health of our people is something we’ll never stop caring about. This is a place to learn and grow.

• A hybrid and flexible approach to working
• Flexible leave options including, birthday leave and purchase additional leave
• Flexible parental leave offering for primary and secondary carers
• Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity
• Hackdays so you can bring your big ideas to life

Our commitment to Diversity, Equity, and Inclusion

We are committed to providing a working environment that embraces and values diversity, equity and inclusion. We believe teams with diverse ideas and experiences are more creative, more effective and fuel disruptive thinking. If you've got the skills, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch.

Like a lot of companies, we have perps out there who like to ‘phish’ and have had a few recent instances of people pretending to be from REA and making offers of employment, on the condition that they transfer money for security checks.