We are actively seeking an Environmental Data Scientist for a critical research project focusing on climate change. This role involves analyzing environmental data to understand the impact of climate change and contribute to meaningful research in this area.

Responsibilities:

• Analyze large datasets related to climate, weather patterns, and environmental changes.
• Apply statistical and machine learning techniques to model climate change scenarios.
• Collaborate with environmental scientists to validate models and interpretations.
• Translate data insights into comprehensible findings for policy development and public awareness.
• Manage data integrity and ensure accurate data processing.

Requirements:

• Advanced degree in Environmental Science, Data Science, Statistics, or a related field with a focus on environmental studies.
• Proven experience in data analysis, specifically related to environmental or climate data.
• Strong proficiency in data science tools and programming languages (e.g., Python, R, SQL).
• Familiarity with geospatial analysis and remote sensing data.
• Excellent analytical, problem-solving, and communication skills.

Duration:

Expected project duration is 6 months.

Compensation:

Fixed-rate, negotiable based on the complexity of the project and the candidate’s expertise.

Additional Information:

• Candidates should be ready to present previous work or research that demonstrates their experience in environmental data analysis and climate change studies.
• The project may involve interactions with international research teams, requiring flexibility in communication and collaboration.