This is an outstanding opportunity for a DATA SCIENTIST to gain advanced expertise in ARTIFICIAL INTELLIGENCE innovation, in Predicting Consumer Behaviour. This company is genuinely ground-breaking in Data Science, Mathematical Modeling and Machine Learning – they are internationally recognised pioneers in the field.
Based in HYDE PARK (Johannesburg) this DATA SCIENCE position offers a salary of R550K – R650K/annum.
Utilising an Artificial Intelligence Platform of immense capability this company is a global leader in Predicting Consumer Behaviour with AI. They deliver automated Consumer Insight faster and with more accuracy than seen before and as such have attracted huge financial investment which has enabled the recruitment of a team of top Data Scientists and Data Engineers.
This is a very exciting time to join a company at the start of their journey and offering brilliant ongoing career progression prospects.
If you have expertise in Data Science, Research, Open Source Software Engineering (ideally Python), Big Data and hacking I’d like to hear from you.
A keen interest in learning about machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, etc. is required.
As a Data Scientist you’ll join a team developing Automated, Deep Net Architecture & Meta Param Optimisation; you’ll research Machine Learning, code in Python and C++, use NumPy, SciKit, TensorFlow; and learn to implement Recurrent Neural Networks. 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.
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.
Experience within Data Science, AI and Machine Learning.
Very solid coding skills in either Python or C++.
Able to work on multi-terabyte datasets.
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.