Software Engineering

Data scientist required to apply data analytics and data analysis tools to predict data solutions in the oilfield domain, (Reservoir Simulation and Field Development Planning).

You will apply data science and machine learning automation tools to gain insight from raw data.

• Applying mathematical methods & techniques to real world problems.

• Using techniques, tools and algorithms to model predictive analysis.

• Data Science tooling e.g. R, SQL, Hadoop, Hive

• Development where needed e.g. C++, Java, Delphi, Python to make the models work.

• Working in an Agile development environment.

• Telemetry capture using Google Analytics.

• Data visualization e.g. Tableau, Spotfire

This is a fantastic opportunity no just to solve some complex and challenging data problems but to also contribute to how this Scientific Software Data Science department works.