At Uni Systems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a professional Environmental Data Scientist to join our UniQue Ispra team.
What will you be bringing to the team?
* Gathering relevant field data from existing data bases covering European and selected non-European waters;
* Developing tools to read these data (in their various formats), detect errors and organize them in a consistent data set;
* Developing tools to analyse, harmonize, quality-check and visualize these data;
* Supporting the processing of Earth Observation data;
* Supporting the assessment of Earth Observation data with the collected field data in hindcast mode;
* Supporting the preparation of the project near-real-time experiment
What do you need to succeed in this position?
* At least 3 years of specific expertise in:
1. Python programming
2. Unix environment
3. Management of data in various formats (e.g., csv, NetCDF, Shapefile …).
4. The field of data management and analysis;
* At least 2 years of specific expertise in statistical analysis of data.
* Expertise in the management, processing and analysis of geospatial data (e.g., Earth observation satellite data, spatial model outputs);
* Experience in other programming languages (IDL, R…), machine learning applied to data and in environmental sciences.
* Expertise is requested to large data sets, preferably in the field of Earth/environmental sciences, remote sensing applications or modelling
* Expertise requested in working in a Linux environment;
* Sound knowledge of tools and software for the management, processing and analysis of geospatial data (e.g., spatially-distributed in-situ data, Earth observation satellite data, spatial model outputs);
* Capacity for planning and taking initiative in an IT environment applied to scientific endeavors;
* Good English level requested for reporting and software documentation;
At Uni Systems, we are providing equal employment opportunities and banning any form of discrimination on grounds of gender, religion, race, color, nationality, disability, social class, political beliefs, age, marital status, sexual orientation or any other characteristics. Take a look atour Diversity, Equality & Inclusion Policyfor more information.
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