Building Displayr’s future together

Join Displayr and help us solve the biggest  problem in data science: it is just too hard to do. From software engineers, to data scientists, to sales aficionados, we’re looking for passionate people to build our apps and bring data science, visualization, and reporting to everyone.

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Bringing 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.

Open positions.

Sales Development Representative
Full-TimeChicago, USA

Ready to make an impact at a rapidly growing SaaS company? Use your awesome business development skills and grow your sales career with us!

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VP of Engineering
Full-TimeSydney, Australia

We are looking for a VP of Engineering to join our team at Displayr, where you will be instrumental in the growth of the company.

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Graduate Software Engineer
Full-TimeSydney, Australia

Are you a talented graduate software engineer that wants to play an instrumental role in the development of an app that is truly unique?

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Quantitative Market Researcher | Customer Success
Full-TimeChicago, USA

Skilled Market Researcher or Data Scientist? If you’re looking to use your technical skills but in a different capacity then it’s time to join Displayr’s Customer Success Team.

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For me it’s the flexible work environment, great pay, good engineering practices, and a high degree of autonomy that makes Displayr the best place I’ve ever worked.

MEGAN LIANG, CORE ENGINEERING

Our vision is to live in a world where evidence, rather than guesses and assumptions, drives decision-making. We work together to bring that vision to life and make it easy for anyone to discover and share the stories in their data.

Add excellence

We win by focusing on improvement. We develop people. We improve systems. We improve our product. We improve our clients.

Take ownership

When ownership is given, we take it. When ownership is not given, we take it anyway. If we fail, we proudly own that too.

Ship something to customers every day

We make a difference to our customers every day ("ship" is engineering speak for releasing features and bug fixes). We break our work into small, achievable tasks which we can finish each day.

Excellence is the next 5 minutes

Excellence is about what we do right now. It's not about creating a plan to be excellent in the future. It's not about perfectionism. It's about making a difference right now.

How we prioritize: Anecdotes < Instinct < Experience < Data < Logic

We prefer evidence over intuition, experience, and "best practice". We know that when data and logic differ, it's usually a sign that there's a problem with the data. We work hard to make the best idea win, not the idea of the most experienced person.

How we improve: Experiment > Document > Checklist > Automate > Optimize

Try stuff to see what works. If it works, document so that others can do it. Make the success easier to replicate by creating a checklist. Improve efficiency by automating. Then, lastly, optimize.

Minimize interruptions while being an open book

We minimize the number of meetings. We don't CC people on stuff they don't need to read. There are minimal broadcasts of generic information. But, the flipside is that only information we hide is information that we are legally obliged to hide. If you want to know something, it's pretty easy to find it out.

Today, 1,163 companies use our tools

World Class NPS

Consistently High NPS