Junior Data Scientist (Supply Chain Transparency)

Stockholm Environment Institute (SEI)

Stockholm, Sweden 🇸🇪

Application

Please use the “apply now” button below. Applications sent via e-mail will not be accepted. Attachments should be in PDF or Word format and should consist of a CV and a cover letter explaining why you are interested in the position and why you see yourself as a good fit. Applications should be written in English and arrive at SEI as soon as possible but no later than Sunday, 5 March 2017.

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Background

Are you interested in working in an international setting with people from different organisational and knowledge backgrounds working together to tackle major environmental and sustainability challenges? SEI is recruiting a highly motivated Research Associate with a strong background in data processing and analysis.

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). Trase is a pioneering sustainability platform that enables governments, companies, investors and others to better understand and address the environmental and social impacts linked to their supply chains. Its approach draws on vast sets of production, trade and customs data, for the first time laying bare the flows of globally-traded commodities – such as palm oil, soya, beef and timber – at scale.

Trase is a direct response to the ambitious commitments made by leaders across sectors to achieve deforestation-free supply chains by 2020 – and the urgent need this creates for a breakthrough in assessing and monitoring sustainability performance.

The successful candidate will be part of a team of researchers working on the technical development of the Trase platform, including data acquisition, preparation, database maintenance, as well as research on land-use change and sustainability inspired by Trase.

More specifically, the candidate will play a substantive role in further developing the back-end of the Trase platform, including helping to develop the SEI-PCS tool (Spatially Explicit Information on Production to Consumption Systems), which allows for linking global consumption of traded commodities with regions of production at sub-national scales; and developing and maintaining a database that includes trade and production data, as well as indicators on the social and environmental sustainability of both production regions and supply chain actors.

Key responsibilities

  • Support ongoing efforts to improve and expand the SEI-PCS model to new countries and commodities, helping acquire, archive, format and process large datasets on production, trade and different measures of environmental and social impact and sustainability performance
  • Helping design, implement and manage an online and interactive and data visualization platform (Trase) for mapping international supply chains and assessing associated sustainability impacts and opportunities
  • Support colleagues in the ongoing development of the database and analytical approach that underpins
  • Provide quantitative support to an exciting range of other work at related to natural resource use and sustainable development (ca. 20% of the candidate’s time)

Requirements

The applicant should have 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 21st Century. No previous working-experience is required but the candidate is expected to be capable of working 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. The candidate will participate in research publications, international workshops and a range of activities developed by the research team behind Trase.

Key qualifications

  • University degree in computer science, physics, mathematics, engineering, natural resource management or related field. If not formally trained in these fields the candidate should demonstrate adequate experience in data analysis and programming;
  • Experience processing and analysing data in a common statistical package or environment (e.g. R);
  • Competent in handling of large amounts of data: at least basic experience in creating and maintaining relational databases (preferably PostgreSQL);
  • At least basic programming experience (preferably Python) and ability to independently acquire new technical skills quickly; and
  • Fluency in English.

Desirable qualifications

  • Previous experience and strong interest in applying innovative visualization methods for complex data (e.g. d3.js based);
  • Experience with version control (Git) and collaborative software development (GitHub);
  • Previous experience in applied sustainability research, ideally with focus on quantitative analysis of trade flows, consumption accounting, or the environmental and social impacts of land-use change;
  • Competence in GIS; and
  • Intermediate level in other widely spoken languages, particularly Bahasa Indonesian, Spanish, and/or Portuguese.

Information

Following a preselection of applications, candidates will have to answer a short practical test to demonstrate their suitability for the post, which will be sent by email.

Questions?

Inquiries concerning the content of the position can be directed to Javier Godar, senior research fellow [email protected] or Steve Fick [email protected]. The Union at SEI Stockholm which is represented in this recruitment process by Karl Hallding [email protected]  

The selected candidate will be employed by SEI in Stockholm, following Swedish labor laws. Remunerations will be competitive based on the Swedish market and will be subject to Swedish income tax.


POSITION TYPE

ORGANIZATION TYPE

EXPERIENCE-LEVEL

DEGREE REQUIRED