Environmental Data Analyst
10 hours ago
We are seeking a highly skilled Environmental Data Analyst to join our team at Open Data Science Conference. As a key member of our data science team, you will play a critical role in shaping data-driven insights for sustainable supply chains.
In this role, you will be responsible for developing and maintaining up-to-date data on supply chains and environmental impacts across various commodities. You will work closely with our product team to drive positive environmental impacts across global commodities.
The ideal candidate will have a strong background in data science, particularly in spatial and non-spatial data analysis, and experience working with both large datasets and reproducible workflows. A passion for sustainability and ability to collaborate effectively with colleagues are essential qualities for success in this role.
Key Responsibilities:
- Applying existing methods to update commodity supply chains and spatial metrics on the environmental impacts of commodity production
- Developing new methods and reproducible workflows to improve the efficiency of our data workflows
- Supporting the development of open-access data products, analyzing Trase and third-party data to deliver key insights and summary statistics on the sustainability of commodity trade
- Thinking creatively about bringing new data, technical solutions, and procedures to enhance our core data offering
Requirements:
- Master's-level qualification or equivalent work experience in a field relevant to data science or analysis
- Experience in data pre-processing and analysis (spatial and non-spatial)
- Proficiency in one of the following programming languages: R, Python
- Experience working with Git (GitHub, GitLab, or similar)
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