About BusinessOptics

Address

Cape Town and Johannesburg

Company Size

1-15
Summary

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.

Perks
Flexible hours
Solve hard problems
Flexible Leave Policy
Tech Stack

Application and Data

Amazon s3
Amazon S3
Amazon ec2
Amazon EC2
Amazon vpc
Amazon VPC
Sass
Sass
Java script
Javascript
Python
Python
Mysql
MySQL
Scala
Scala
Html5
HTML5
Django
Django
Cplusplus
C++
Nginx
nginx

DevOps

Github
GitHub
Jenkins
Jenkins
Git
Git
Docker
Docker
Sbt
SBT

Utilities

Amazon route 53
Amazon Route 53
Amazon ses
Amazon SES
Elasticsearch
Elasticsearch
Google analytics
Google Analytics

Business Tools

Google apps
Google Apps
Slack
Slack

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