DATA SCIENTIST – this is an excellent opportunity to work at the forefront of ARTIFICIAL INTELLIGENCE (AI) & Customer DATA SCIENCE, utilising the latest Technology, Data Engineering, Analytics, Data Modeling and Algorithmic development to enhance the world’s most accurate Automated Consumer Insight Prediction Platform and Products.
This DATA SCIENCE role is based in JOHANNESBURG and offers a salary of circa R1M/annum+. In addition, there are bi-annual bonus’ and stock options.
THE COMPANY is a global leader in PREDICTING CONSUMER BEHAVIOUR with AI – they harness the power of ARTIFICIAL INTELLIGENCE to help business predict consumer behaviour which maximises efficiency and customer satisfaction. Their AI Platform delivers industry-leading automated consumer insight (with more accuracy than ever seen before), rivalling the capabilities of Data Giants like Amazon, e-bay, Google and Apple.
TO JOIN THIS COMPANY, you will have a genuine understanding of AI; you’ll have the skills to improve Automated, Deep Net Architecture & Meta Param Optimisation; you’re inspired by Machine Learning research & publications; your Python or C++ coding skills are advanced and you’re proficient in using NumPy, SciKit, TensorFlow; and understand Recurrent Neural Networks.
CULTURALLY the company are Mathematically exceptional; Highly Curious; sticklers for Accuracy and precision; Pedantic & over-exacting – if you share these traits you’ll fit in very well indeed.
SHOULD YOU SECURE THE ROLE you will join a team whose innovation, output and results are far better than seen in traditional Statistical methods or Machine Learning practices. You will help automate and commoditise cutting edge AI results, and beyond automation of the data science process another focus will be to make sure you stay ahead of the pack in terms of accuracy, speed, and scalability by being creative and diligent.
Must have experience building deep nets using Python or C++.
Able to work on multi-terabyte datasets.
Understanding of RNN (Recurrent Neural Networks Architectures).
Proficiency in using NumPy, SciKit, TensorFlow.
Experience in distributed Deep Net implementations such as a Spark TensorFlow integration.
Experience in writing lambda functions will be preferred.
Strong University level Math, Computer Science, Physics, Applied Math or Mathematical Statistics background required.
If you qualify for this role, please email your CV directly to:
021 801 5001
If you have not had a response to your application within 14 days please consider your application to be unsuccessful.