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Company

Global Fishing Watch · 7 hours ago

Request for Proposals: Enhancing Global Fishing Activity Predictions Through Data and Model Development

United States

Full-time

Remote

Mid Level

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Information Technology

H1B Sponsor Likely

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Responsibilities

Review existing labelled datasets for AIS and VMS.

Identify representative tracks to label to expand the existing training datasets.

Collaborate on data labelling efforts.

Train team members on labeling fishing tracks, emphasizing consistency and accuracy.

Help select test sets to assess model performance.

Ensure datasets are well-documented and reflect diverse fishing patterns, gear types, regions, fleets etc.

Conduct analyses to determine the minimum required ping rates for accurate predictions across different fishing gear types.

Analysis to compare estimated fishing hours between the new and old models. Highlight key differences and trends.

Investigate how variables such as AIS data reception impact total fishing hours.

Investigate consistency and alignment between GFW’s fishing events dataset and fishing effort dataset.

Write clear and comprehensive documentation for fishing model code repositories, ensuring accessibility for developers and collaborators.

Qualification

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Machine Learning EvaluationPythonRSQLFishing Practices UnderstandingData VisualizationVersion ControlGeospatial AnalysisGitGitHubMarine Ecology KnowledgeRemote Collaboration

Required

Experience evaluating machine learning models

Demonstrated experience and data science skills with Python or R

Experience with SQL

Understanding of fishing practices and modeling fishing activity

Ability to work with large datasets and visualize data effectively

Experience with version control software and collaboration tools such as git and GitHub

Analytical, detail oriented and self-motivated

A deep curiosity and dedication to critical thinking

Willingness to take ownership of projects and effectively communicate updates in a transparent and proactive manner

Ability to manage multiple priorities under tight deadlines while performing in a fast-paced, collaborative environment

Preferred

Experience in geospatial analysis of remotely sensed data

Experience engaging with academic researchers and the peer-review process

Familiarity with issues of marine ecology or policy

An understanding of the complexities and collaboration required to work effectively for a globally remote organization

Company

Global Fishing Watch

Global Fishing Watch is the product of a technology partnership between SkyTruth, Oceana.

Founded in 2017

Washington, District of Columbia, USA

51-200 employees

http://globalfishingwatch.org/

H1B Sponsorship

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2023 (1)

2020 (1)