
Environmental Impact Analyst
3 days ago
Transforming Sustainability Outcomes through Data-Driven Insights
At Open Data Science Conference, we believe that data holds the key to unlocking sustainable futures. As a Data Scientist on our team, you will be responsible for crafting and refining our supply chain data, ensuring it remains accurate, efficient, and informative for our stakeholders.
For this position, we seek a highly skilled data scientist with expertise in spatial and non-spatial data analysis. Your passion for sustainability, particularly in agricultural, land-use, and forestry sectors, is crucial to your success in this role.
Responsibilities:
- Commodity Supply Chain Updates: Utilize established methodologies to update commodity supply chains and environmental impact assessments, informing strategic decision-making.
- Method Development: Collaborate with colleagues to design and implement novel methods and workflows, enhancing data efficiency and accuracy.
- Open-Access Data Development: Support the creation of user-friendly, open-access data products, distilling complex data into actionable insights for diverse stakeholders.
- Core Data Enhancement: Develop innovative solutions to enrich our core data offerings, streamlining access and analytical capabilities for a broader audience.
About You:
As a seasoned data scientist with a strong interest in sustainability, you are well-positioned to drive positive change in this role. Your ability to communicate complex ideas effectively, foster collaboration, and drive results makes you an ideal candidate.
Requirements:- Qualifications and Expertise: Hold a Master's degree or have equivalent work experience in a field relevant to data science or analysis, demonstrating expertise in data pre-processing and analysis (spatial and non-spatial).
- Programming Language Proficiency: Show proficiency in R or Python programming languages, with experience in Git (GitHub, GitLab, or similar) for version control and collaboration.
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