Keys For Success In This Role:
· Design, build, and maintain scalable data pipelines and cloud infrastructure for environmental data processing.
· Use skills in exploratory data analysis, data statistics, and machine learning to evaluate and predict and report impacts and outcomes.
· Create dashboards and automated reports to communicate findings to stakeholders.
• B.S. Computer Science, Data Science, Engineering, or Related Field
• Proven experience (minimum 5 years) in Data Science, Data Engineering, or a related discipline.
• Proficiency in PowerBI, Python, R, and SQL.
• Proven experience in data analysis and visualization techniques for environmental data.
• Knowledge of database management principles.
Ideally You'll Also Have:
• Advanced degree in Data Science, Engineering, or a related field.
• Additional programming skills in C++, Java, SQL, Swift.
• Experience with machine learning and artificial intelligence.