- Who We Are
- How We Work
- Our Science
- News & Events
- Find a Scientist
- OSM 2019
- Become a Member
Stockholm Environment Institute
Monday, January 1, 2018
Thursday, February 1, 2018
Join our international non-profit research organization and help create a sustainable future for all. The SEI Stockholm Centre is a dynamic, expanding workplace that employs around 90 people from 25 different nationalities in an activity-based office in central Stockholm (Garnisonen).
SEI is recruiting a highly motivated Data Scientist with a strong research background in environmental and social data processing and analysis, and a strong drive for innovation. The successful candidate will contribute to an exciting and innovative development in global supply chain sustainability – the Transparency for Sustainable Economies (Trase) platform (www.trase.earth).
The successful candidate will be part of a team of international researchers working on the technical development of the Trase platform, including the acquisition, processing and integration of diverse datasets as well as new research on land-use change and sustainability inspired by Trase.
We are looking for a person with a strong interest in data science and quantitative analyses to help understand some of the major environmental and sustainability challenges the world is facing in the 21stcentury. Key requirements for this position are:
To succeed in this role, you can work both independently and in team in a highly flexible and exciting research environment, whilst also being comfortable investing time as needed in basic data preparation and processing routines. You have an ability and interest to independently acquire new technical skills quickly. As you are part of a team, you find motivation in supporting more junior colleagues.
An ability to create simple (web) applications for interactive data visualization (d3.js, shiny), experience with version control (Git) and collaborative software development (GitHub), AWS S3 and EC2 services and advanced skills in GIS and geospatial analysis, including handling and analysis of satellite imagery are strongly preferred but not required. Language skills in other widely spoken languages, particularly Bahasa Indonesian, Spanish, and/or Portuguese are regarded as an advantage as the Trase team is engaged in these regions.