Data Scientist

Company:
Location: Sydney NSW

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The safety and wellbeing of our employees and potential employees are important to us. We are giving candidates the options to interview via zoom or face to face. A virtual interview will not adversely impact your application. If you have any questions or concerns, this can be discussed through the screening process.

We’re REA

An Australian start-up success story we’re quietly proud of.

From a garage in Melbourne to the global stage is an achievement we’re humbled by. Our idea to put pictures of houses on the internet has blossomed since 1995, and we now have businesses across Australia, Asia, India and North America.

Our purpose is to change the way the world experiences property. No matter where you’re at on your property journey, we’re here to help on every step – whether that’s buying, selling, renting or renovating.

Some of our brands include realestate.com.au, realcommercial.com.au, spacely.com.au, flatmates.com.au, smartline.com.au and hometrack.com.au.

What we’re doing:

With us, you’ll experience Impact . The Proptrack team at REA Group provides property data and technical platform solutions to customers in the financial and government sectors. It is the core delivery centre for developing solutions to meet customer priorities and align with Protrack’s and REA Groups technology strategy.

We are looking for a tech-savvy Data Scientist to join our Data Science team of analytics experts. The team is responsible for building and maintaining the Automated Valuation models and price indexes and delivering analytical projects to internal stakeholders as well as Proptrack customers. The remit of the role includes building of statistical and ML models, undertaking analytical projects and providing insights, working (in collaboration with other team members) on expanding our analytical data assets and maintaining our data products, while building effective working relations with internal stakeholders.

The role will suit someone with a broader skillset and previous experience in data science, analytics and data engineering who’s interested in building predictive models and their deployment end-to-end and gaining more exposure to property market data.

In this role you will:

  • Extract, manipulate and process data from multiple sources and assemble datasets
  • Gain a solid understanding of our models and data assets to play a key role in statistical and ML model build and improvements using a range of modelling techniques
  • Build data pipelines, troubleshoot data and script issues and proactively analyse the model building processes to identify and recommend improvements
  • Perform thorough testing and validation of models to confirm accuracy of data transformations used and robustness of predictive models
  • Document the projects and processes and assist with report preparation
  • Promote technical communication between Data Science, Database and Engineering teams
  • Play a key role in deployment of new analytical tools and data platforms
  • Provide support to client analytics work, and contribute to the production of analytics results packs in each assignment
  • Translate complex business requirements and objectives into technical briefing.
  • Communicate learnings in an accessible manner to different types of audiences.

What we’re looking for:

  • Bachelor’s or Master’s degree in a technical or science discipline (such as Applied Mathematics or Statistics, Economics, Engineering, Computer Science, or similar) – PhD will be well regarded but not required
  • 3+ years of experience in Data Analyst/Data Scientist roles within analytics domain working with large and complex datasets
  • Advanced SQL scripting skills (MS SQL, BigQuery) and experience with structured and unstructured data in a variety of formats
  • Experience with building and deploying statistical and ML models in the commercial environment
  • Good working knowledge of statistical programming languages, mainly Python
  • Expertise in a range of commonly used data modelling techniques and their trade-offs
  • Exposure to a range of ML model deployment frameworks and tools is very well regarded
  • Strong attention to detail
  • Team-player with excellent communication skills open to new challenges
  • Self-starter motivated to succeed
  • Passion for leveraging data to generate value

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:

  • Savvy minded and have the ability to think a little left of field / outside the box
  • A strong and creative communicator
  • Friendly, approachable and have good relationship management skills
  • 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 that we take seriously.

We offer:

  • Because We Care program which includes volunteer leave and community grants, to ensure you have the opportunity to give back to your community
  • Hack Days so you can bring your big ideas to life
  • An additional day of leave just for your birthday
  • A flexible working environment meaning we strike the balance of what you need and what works for the business (and yes, our leaders fully understand the flexible working policy)
  • Free breakfast (and who doesn’t love a free brekkie)
  • Industry leading gender-neutral parental leave

Oh, and by the way:

At REA we value diversity and inclusion in all forms. Gender, religion, ethnicity, LBTGIQ+, neurodiversity and so much more. Research shows that while men apply to jobs when they meet an average of 60% of the criteria, women and other marginalized folks tend to only apply when they check every box. So if you've got the must-haves, dedication and enthusiasm to learn but don't necessarily meet every single point on the job description, please still get in touch. We'd love to have a chat and see if you could be a great fit.

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?

*** Mention DataYoshi when applying ***

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