BusinessOptics has built a next generation prescriptive analytics and modelling platform. Our focus is to allow non-programming domain experts to solve problems that are both high in complexity and large in scale. The platform does this by providing an intuitive visual (mind-map like) interface that allows domain users to express the complex logic underlying their businesses and environments, as well as take advantage of advanced machine learning systems, on problems operating at a large scale.
BusinessOptics offers the platform as well as a number of vertically integrated industry solutions built on top of it. We also offer consulting around the use of the platform, interacting with clients at what ever level they need. Our clients include major banks and insurers, major telecoms and large logistics companies.
We work on hard problems in an exciting field. Our work ranges through big data infrastructure, machine learning, statistical analysis, data visualisation, interface design and devops. You will work hard and on interesting problems. We also believe that intellectual work doesn't always happen by the hour and trust our colleagues to figure out the best hours and mechanisms to be productive. We believe in the stress relieving power of table tennis and the mini-bar.
Our team is strongly technical with backgrounds in computer science, mathematics, statistics, cryptography, quantum physics and actuarial science. The company is primarily split into the development office in Cape Town, and the analytics and sales office in Johannesburg.
How we hire
When hiring for full-time positions we first perform technical and personal interviews (in person if possible, remotely if not) with the technical team. Following that if the candidate is not already employed (such as recent graduates or people coming back from an extended trip) we offer them a one week paid "internship" where they work with the team and hack around on a few projects with us. This allows us to gauge their interests as well as their personality fit. If the the candidate is employed full time (or otherwise unable to do the week "internship") we try do some remote work after hours with them for a few nights or a weekend hackathon, anything that gets us close to some good working time with them. Following that we make an offer. We believe that the work you do is too important to choose on a whim and that it takes time to find the right place and people.