We're building apps that brings data science, visualization, and reporting to everyone. Our two main products are Displayr, the world's first complete data science tool; and Q, the complete toolkit for market researchers. Our core business is a combination of advanced software engineering and data science, coupled with elegant design.
We currently have offices in Sydney, Chicago, and London.
We are looking for a Senior Software Engineer to join our team at Displayr. The ideal candidate for the role will be a great developer who loves software design, coding, new technology.
A newly created opportunity for a passionate and capable UI/UX Designer now exists in our Glebe office. Working with some of the best engineers in the business, this role is for you to manage and own!
If you are a quantitative marketer researcher looking for change in direction, this is the perfect role for you. Exciting growth opportunities here at Displayr means we are now looking for an experienced, proactive and dedicated Customer Success Specialist to join our team based in Chicago!
Are you are highly capable, talented and passionate Software Engineer graduating in late 2019?Are you looking to join a dynamic and interesting startup that has solid foundations and unique product offerings? If so, please read on.
At Displayr, we are always looking for exceptional talent to join our team. Although we might not be actively recruiting a specific Software Engineer role right now, we understand that good people are hard to come by, and if the right person comes along and they believe in our values and are passionate about what we do, we are always keen to hear about it.
We are looking for an exceptional Junior Software Engineer to join our team in our Glebe office. This is a junior level role, so we would consider graduates, or candidates with less than 3 years’ experience in Software Engineering. This is an exciting opportunity to work on something extremely challenging and interesting, and be mentored by some of the best in the industry.
Our vision is to live in a world where evidence, rather than guesses and assumptions, drives decision-making.