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About the Role

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!

Responsibilities

• Contribute to the 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 modeling.
• Find or engineer new features for ingestion into PropTrack’s AI platform.
• Prototype and build new statistical and machine learning models to improve model performance.
• Perform hyperparameter tuning and cross-validate model performance.
• Develop and maintain model visualization tools for analytics and business support.
• Document projects and processes on Confluence and Git repositories.
• Present projects within the data science team and to broader REA audiences.

Requirements

• Tertiary qualifications in data science, econometrics, statistics, mathematics, or a related discipline with a numerical/quantitative focus OR equivalent experience.
• 2+ years of industry experience in Data Science, ML engineering, Data Analyst, or similar roles.
• Expertise in statistical modeling and machine learning theory.
• Strong Python programming skills with the ability to independently write, read, debug, and maintain code.
• Hands-on experience using Python for data science or machine learning, including libraries such as pandas, NumPy, and scikit-learn.
• Proficiency in SQL and experience working with large or complex datasets.
• Experience building and deploying models to production environments (CI, infrastructure as code, containerization).
• Strong Computer Science fundamentals in data structures, problem-solving, algorithm design, and complexity analysis.
• Exposure to Git and the Atlassian product suite (Jira, Confluence).
• Ability to work collaboratively as well as individually.
• A structured approach to building, testing, and iterating on statistical models.
• Data handling skills, including cleaning, analyzing, and interpreting large datasets, with an intuitive sense for identifying incorrect or inconsistent data.
• Excellent communication skills.
• Strong attention to detail.

Skills

• AWS
• Docker
• Python
• BigQuery
• pandas
• NumPy
• scikit-learn
• SQL
• CI
• Infrastructure as Code
• Containerization
• Data Structures
• Problem Solving
• Algorithm Design
• Complexity Analysis
• Git
• Jira
• Confluence

Location

• Sydney

Work Type

• Permanent
• Full-time
• Hybrid

Experience Level

• 2+ years industry experience

Education Level

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

Benefits

• 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
• Volunteering leave
• Community grants
• Matched payroll giving
• Community Café donates 100% of revenue to charity
• Hackdays

About the Company

• 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.
• 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.

Equal Opportunity

• 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.