Data Scientist / Machine Learning Engineer

Wattcost is an exciting, rapidly growing technology start-up based in Sydney, Australia. Our internationally awarded product unlocks the potential of real-time home intelligence to help consumers save money, protect their family and the environment.

Our product relies on cutting edge technologies: massive amounts of home energy and behavioural data, real-time machine-learning and the latest frameworks and libraries. The development stack is based on AWS, Python and JavaScript, which provide the computing power and high throughput storage capabilities for our algorithms to run at scale. You can expect a wide variety of work along with a great amount of freedom to learn and grow.

Who you should be:

You should have proven yourself as a data wiz who thrives on working across the research of the latest algorithms and fast prototyping to efficiently ship new features to production!

As the latest member of our talented engineering team, you will play a key role in building and enhancing our technologies. You will use cutting-edge technologies to design machine learning algorithms from scratch while still meeting our platform throughput requirements.

We’re a team of agile, laser focused engineers and scientists that are committed to build a global product that matters. You should be someone who is just as obsessed as we are with data and algorithms, and goes even further to achieve a product that’s loved by millions. New features at Wattcost often start with in-depth data research, mathematical proof, benchmarking the feasibility, design the computation and storage architecture, fast-prototyping & early deployment to then measure and keep improving the results for a great user experience.

To be successful in this role:

  • Degree in computer science, machine learning, statistics & applied math, or similar field (Masters/PhD bonus)
  • 5+ years experience building machine learning algorithms
  • Strong Python, Pandas and SQL programming skills
  • Experience with diving into data, finding insights and storytelling
  • Excellent understanding of signal processing, time-series, algorithms and data structures
  • You built algorithms in fast growing web architectures (from launch to terabytes)
  • Familiarity with the agile development process and extreme programming
  • Experience in continuous integration, testing and validation frameworks


  • Be a part of building a global product and brand that really matters
  • Gain experience at a startup on the cutting-edge of consumer products
  • Work with experienced entrepreneurs creating revolutionary new technologies
  • A wide range of challenging machine learning projects
  • New office centrally located in the Sydney Startup Hub above Wynyard station