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Salary- Join a growing Machine Learning and data science team
Charities - We have long-term partnerships with charities working to address homelessness.
We're REA
REA Group (https://www.rea-group.com/about-us/about-rea-group/) is not your average digital business. From humble beginnings in a garage in Melbourne's east in 1995, we have grown into a leading global digital business, specialising in property.
With bold and ambitious goals, we are 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 be named in Australia's “Top 5” Best Workplaces two years in a row, as well as being recognised as a Best Workplace for Women.
Where the team fits in
This role sits within the Personalisation and Privacy tribe, one of the Tribes that sit within the Consumer Group. Consumer Group's mandate is to be the number one destination for Australian property and real estate through having the most engaging and best real estate and property experience. The Personalisation and Privacy Tribe supports and develops the majority of our marketing technology stack and platforms, and a privacy first user experience which underpins REA's revenue, product growth and world class user experience. Additionally, the this tribe is home to the CX data science squad who own and build out audience and listing models that power next generation property experience but also the worlds leaving AVM from PropTrack.
The Data Science squads mission is to propel REAs strategy through Machine Learning and data science, driving largest & most engaged audiences, unparalleled data insights, and superior customer value. We combine our extensive behavioural data with property, listings, content and market data (and more) to understand our audience, properties and the market. These rich insights are then used to provide consumers personalised, relevant, contextual and timely marketing communications, content and experiences. They are also used to provide unique and powerful insights to our customers and partners, helping them better understand their audiences, properties, leads, markets and product performance.
To do this, we develop, engineer, manage and maintain a range of Machine Learning models and processes, from classification models to deep learning algorithms, recommendation engines and more.
What the role is all about
- Leading teams of experienced data scientist and Machine Learning engineers in Australia
Informing delivery planning and technical design by providing a balanced view of options, effort, and quality considerations
Keeping abreast of the latest technology advancements to inform product and technical design
Proactively contributing to the continuous improvement of products, technology, processes and team development
Lead ML engineering strategic thinking, ensuring the appropriate Machine Learning practices across the business to drive data-led decisions and product innovations.
Coach and mentor direct reports (Machine Learning Lead and Data Science Lead) and act as a SME to ML engineers, data engineers and business stakeholders to upskill, share knowledge and best practices related to ML engineering and data science.
Ensure industry best-practice approaches to ML engineering are maintained, including verifying the use of data is ethical and compliant with all legal (privacy) requirements.
Who we're looking for
- A few runs on the board - you will ideally have 5+ years leading Machine Learning or data science teams
Tertiary qualifications in ML or data engineering, software development, data science OR equivalent experience
Proficiency with Machine Learning in a commercial production environment - experience with developing APIs, streaming data (eg Flink, Kafka), and generative AI is a plus.
Expert skills in developing long-term system architecture strategies
Expert in SQL, Python, and/or other relevant software/languages. We're happy for you to learn the particulars on the job, but you need to be able to code.
Extensive experience with dev-ops tools and techniques, particularly Docker, Git, GCP, AWS, and CI/CD.
Can proactively identify the most appropriate Machine Learning approach and tools required to derive insights for a given commercial application or opportunity.
But we don't just look for someone based on their skills and expertise. It's our connection, acceptance and genuine care for each other that makes REA a great place to work. That means you also need to be:
- A strong and creative communicator
An avid supporter of our fully inclusive culture - we celebrate difference and ensure that everyone belongs
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. We're committed to your development - both professionally and personally. Your experience with us is something we take seriously.
We offer:
- A hybrid and flexible approach to working
Programs to support mental, emotional, financial and physical health & wellbeing
Our Because We Care program offers employees volunteering leave, community grants, matched payroll giving and our Community Café donates 100% of revenue to charity.
Hack Days so you can bring your big ideas to life
Performance recognition programs because hard work should never go unnoticed
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 - be it cultural and ethnic backgrounds, gender identity, disability, age, sexual orientation, or any other identity or lived experience. We know diverse teams are critical to maintaining our success and driving new business opportunities. 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.
If you like the sound of us, then we think you should apply today. We're proud to be Circle Back Initiative Employer and we commit to respond to every applicant. While we're looking at your application, and preparing to come back to you with an update, why not get to know us a bit more through our various social channels?
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