Apply advanced predictive modeling and statistical techniques to design, build, maintain, and improve upon multiple real-time decision systems.
Visualize and show complex data-sets via multidimensional visualization tools.
Design scalable automated data mining, modelling and validation processes.
Produce scalable, reusable, efficient feature code to be implemented on clusters and standalone data servers.
Contribute to the development/ deployment of machine learning algorithms, operational research, semantic analysis, and statistical methods for finding structure in large data sets.
Role requirements:
An absolute minimum of 1-3 years of relevant data science experience.
Have an Engineering or comparable math / physics degree.
Knowledge working proficiency in Excel, Python, R
Expert proficiency in at least 2 structured programming languages.
Deep understanding about statistical and analytical models.
Bias for action - Ability to move quickly while taking time out to review the details.
Clear communicator - Ability to synthesise and clearly articulate complex information, highlighting key takeaways and actionable insights.
Team player - Working mostly autonomously, yet being a team player keeping your crews looped-in.
Mindset - Ability to take responsibility for your life and that of your people and projects.
Mindfulness - Ability to maintain practices that keep you grounded.