Make an impact bringing your ideas and solving complex problems in a cooperative, supportive team!
Work for a leading property brand impacting millions of users!
Permanent full time role based in SydneyWe're REAWith 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 inPropTrack 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 jobContribute 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 modellingFinding or engineering new features that can be ingested into PropTrack's AI platformPrototyping and building new statistical and machine learning models to improve model performanceHyperparameter tuning and cross-validating model performanceDevelop and maintain model visualisation tools for analytics and business supportDocument projects and processes on Confluence and Git repositoriesProject presentations within the data science team and to broader REA audienceWho we're looking forTertiary 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 rolesExpertise in statistical modelling and machine learning theoryHas strong Python programming skills and can independently write, read, debug and maintain codeHas hands‐on experience using Python for data science or machine learning, including libraries such as pandas, NumPy and scikit-learnProficient 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 analysisExposure to Git and Atlassian product suite (Jira, Confluence)Team player capable of working collaboratively as well as individuallyA structured approach to building, testing, and iterating on statistical modelsData 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 experienceThe 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 workingFlexible leave options including, birthday leave and purchase additional leaveFlexible parental leave offering for primary and secondary carersOur Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charityHackdays so you can bring your big ideas to lifeOur commitment to Diversity, Equity, and InclusionWe 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.
#J-*****-Ljbffr

📌 Data Scientist (Sydney)
🏢 Rea Group
📍 Sydney