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Climate & Environmental Data Scientist - Technovative Solutions LTD.
Data Scientist
Data Scientist specializing in climate and environmental data, leveraging Python, R, GIS, and machine learning to build predictive models and support sustainability projects.
About the role
Key Responsibilities
- Design, develop, and validate climate and environmental data pipelines using Python, R, and SQL.
- Apply GIS and remote sensing techniques to integrate geospatial datasets for climate impact analysis.
- Build and deploy machine‑learning models for forecasting weather patterns, emissions, and resilience metrics.
- Collaborate with domain experts to translate scientific requirements into scalable data solutions on cloud platforms (e.g., AWS).
- Document methodologies, produce technical reports, and present findings to multidisciplinary teams.
Requirements
- Advanced degree (MSc/PhD) in Climate Science, Geosciences, Environmental Engineering, or a related field.
- Proven experience with Python or R for data analysis and model development.
- Strong GIS/remote sensing skills and familiarity with climate modeling tools.
- Hands‑on experience building machine‑learning models and deploying them in cloud environments.
- Excellent problem‑solving abilities and ability to work collaboratively in a fast‑paced, research‑driven setting.
Skills
pythonmachine learningsqlaws