Job description
REPL Group develops and implements technical solutions in the retail space – our experience and expertise delivers visionary professional services and unique solutions that transform business operations.
We’ve worked with all of the world’s top retailers, both locally in South Africa and internationally. These achievements are made possible by hiring the best talent: teams of specialists who share our ambition to deliver the exceptional.
We’re expanding our offering for an in house data science team within REPL Group worldwide, to meet the demands of a growing portfolio of new and exciting projects.
The data science team are part of the delivery consulting team, delivering a data science consulting offering across a wide portfolio of clients and services. As such, we are working on a broad spectrum of activities, ranging from algorithms development, data analysis and software development support.
What you’ll be doing:
Data analysis using either an exploratory or hypothesis driven approaches
Predictive modelling using machine learning techniques such as generalised linear models and Bayesian inference, and Deep Learning
Work side-by-side with clients to provide bespoke data science consultations
Contribute to the development, and ongoing improvement of our in house platforms
Provide data science expertise and support as required to the wider organisation
What we’re looking for:
Strong related academic background i.e. Masters level degree in numerate subject, preferably data science
Theoretical knowledge of classical statistical methods, bayesian learning, and neural networks, and its application to machine learning techniques
Strong Python/R experience
Demonstrable experience with RStudio or Jupyter notebooks
Keen to utilise up-to-date software development practices
Good communications skills, verbal and written
Self-starter, happy to work alone or as part of a team
Willing to occasionally work off-site at supplier or customer sites
It would be a bonus if you had:
Experience with Tensor Flow
Experience of Hadoop
Experience with high level software language such as Scala, Java or C#
Experience of working in an Agile development environment
Experience of utilising a continuous integration approach to software development
Experience of software containers e.g. Docker
Comfortable working with different data science tools
