- 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.
Excellent communication skills
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.
Some of our Perks & Benefits include:
- 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.
Join our Talent Neighbourhood
Keen to be part of REA but didn't find a perfect match with this opportunity? Perhaps the timing isn't right? You should join our Talent Neighbourhood!
#LI-HYBRID
Skills Required
- Tertiary qualification in data science, econometrics, statistics, mathematics, or a related quantitative discipline, or equivalent experience
- At least 2 years of industry experience in data science, machine learning engineering, data analysis, or a similar role
- Expertise in statistical modelling and machine learning theory
- Strong Python programming skills, including independently writing, reading, debugging, and maintaining code
- Hands-on Python experience for data science or machine learning using pandas, NumPy, and scikit-learn
- Proficiency in SQL and experience working with large or complex datasets
- Experience building and deploying models to production environments, including CI, infrastructure as code, and containerisation
- Strong computer science fundamentals in data structures, problem solving, algorithm design, and complexity analysis
- Exposure to Git and the Atlassian product suite, including Jira and Confluence
- Collaborative team-working ability, both independently and with others
- Structured approach to building, testing, and iterating on statistical models
- Data handling skills, including cleaning, analysing, and interpreting large datasets
- Excellent communication skills
- Strong attention to detail
What We Do
REA Group (ASX: REA) is a leading digital business with more than 2,800 people working towards changing the way the world experiences property. We help people with all aspects of their property experience – not just buying, selling, and renting. We deliver unparalleled value to our customers with a suite of un-matched integrated products and services while providing access to the largest and most engaged audience of Australian property seekers. Our unique consumer experiences cover every stage of the property journey offering the richest content, data and insights, property valuation estimates and home financing solutions. REA is focused on supporting a sustainable future is a Climate Active certified carbon neutral organisation. Our people are the key to our success and come to work every day living our values. They are purpose driven and collaborate, which drives our innovative culture.
