Data Engineer

Numadic
- 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.
- Perform data cleansing, transformation & feature engineering.
- 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.
- 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.
To apply for this job please visit numadic.com.