Advanced Predictive Modeling for Sustainable Fishing Practices

Global Fishing Watch is seeking a consultant in Des Moines, IA for Advanced Predictive Modeling for Sustainable Fishing Practices. The role involves data analysis, model development, and communication support to enhance global fishing activity predictions. Key responsibilities include analyzing fishing hours data, developing documentation, and collaborating on vessel tracking data. Candidates should have experience with machine learning and a strong understanding of fishing practices.
Global Fishing Watch is hiring a consultant in Des Moines, IA for Advanced Predictive Modeling for Sustainable Fishing Practices. The role involves enhancing global fishing activity predictions through data analysis, model development, and communication support. Key responsibilities include analyzing fishing hours data, developing documentation, and collaborating on vessel tracking data. Candidates should have experience with machine learning and a strong understanding of fishing practices.
Consultant Opportunity:

We are seeking a skilled consultant to support the enhancement of our global fishing activity predictions through data and model development. As a consultant, you will work closely with our team to collect and label vessel tracking data, analyze fishing hours outputs, and support the release of the updated fishing model.

Your Key Responsibilities:
• Data Analysis: Analyze fishing hours outputs between the updated model and its predecessor, identifying significant changes, their root causes, and implications for users.
• Communication Support: Develop engaging communication materials and technical documentation to support the release of the updated fishing model.
• Model Development: Collaborate with our team to collect and label vessel tracking data, ensuring consistency and accuracy across different fishing gear types, regions, fleets, etc.

Requirements:
• Experience working with machine learning models and data analysis tools
• Strong understanding of fishing practices and modeling fishing activity
• Ability to work effectively in a fast-paced, collaborative environment