Join a company that is quietly revolutionising the world using AI, Machine Learning, IoT, and distributed monitoring, control, and optimisation applications at scale!
Our clients are everywhere, and our products reach some amazing places. From the Melbourne CBD where our headquarters are located, to top security restricted facilities overseas, supporting critical systems on cruise ships, to skyscrapers, universities and more. Conserve It uses its advanced and innovative technologies to create a better, more sustainable world through saving energy and improving the efficiency of the built environment. No matter where it is!
Conserve It is an equal opportunity employer. We celebrate diversity and are committed to building an inclusive environment for all employees. We value everyone who joins our company and the contributions they make. Having an open and collaborative environment that encourages everyone to share their skills, experience and opinions is something we are proud of but continually look to improve.
As Data Scientist, you will join a growing Research & Development team and collaborate with other Data Scientists and Engineers to research, prototype and trial machine learning algorithms for analytics and real-time optimization of live equipment in the built environment and beyond.
Reporting to the Head of Research & Development, you will get the opportunity to work directly with customers and stakeholders across a range of industries globally, see the direct results of your work through demonstrable energy savings and contribute to addressing global warming.
Deliver robust proven solutions and work closely with and around our software development team to integrate them in our range of products and contribute from beginning to end of a project.
Take advantage of our key position in the industry to build a more sustainable future through predictive technology and leveraging the wealth of under-utilised data from embedded sensors scattered through building systems. This is the opportunity to make your mark and drive innovation & methods in a small R&D team.
Hours: Full Time
Location: Melbourne CBD
Essential skills and experience
Deep knowledge of machine learning and AI algorithms
Ability to design and tune deep neural network architectures (ANN, RNN, CNN)
Practical experience developing & deploying a machine learning algorithm in a real-world scenario
Ability to prototype robust solutions in Python
Advanced NumPy/SciPy, Scikit-Learn, TensorFlow (or PyTorch)
Ability to perform data exploratory analysis for proof of concept and to communicate results to a diverse audience
Strong foundations in Mathematics
Postgraduate degree in a quantitative discipline (Data Science, Mathematics, Physics, Bioinformatics)
Knowledge of Mathematical Optimization theory
Ability to understand and write tailored solver
Fundamentals of controls theory (Fuzzy Logic, Model Predictive Control, etc.)
Experience in writing clean and maintainable production software (e.g. in Python)
Experience in Julia
Standing desk (when we’re actually in the office!)
Regular social events including weekly drinks
Flexible working from home hours
Awesome central CBD location next to Melbourne Central Station
Lots of training so you can learn about our industry
When applying please provide us with a cover letter and a link to your GitHub/Bitbucket repo or provide any sample code that you may have.
Please email all applications to firstname.lastname@example.org.