Senior Data Scientist, Remote Fisheries & Water Resources

ICF; San Francisco (CA); Remote; USD 81,000 - 167,000; Full time

Job summary

ICF is hiring a Senior Data Scientist to support Fish and Aquatic Science and Technology, focusing on Chinook Salmon in California’s Central Valley. This is a remote role from San Francisco, CA, delivering quantitative analyses, decision-support models, and publications for water-resource clients.

You will translate monitoring data into transparent models, contribute to scientific writing, and engage with clients and stakeholders.

Qualifications

• Master’s degree in fisheries biology or related field.
• 5 years of increasingly complex fish data science experience.

Responsibilities

• Conduct analyses and write scientific documents, reports, and manuscripts for fish-related projects.
• Develop and document statistical, population, and decision-support models for fish and water resource management.
• Build and maintain reproducible codebases and automated data pipelines linking monitoring data to models.
• Meet with water resource clients to discuss planning, implementation, and monitoring.
• Describe projects and interpret analyses through written and oral communication and interactive visualizations.
• Conduct scientific research to generate knowledge for resource management.
• Collaborate with a multi-disciplinary team to complete analyses and documentation on time and within budget.
• Develop scope and budget and write proposals.
• Build and maintain client relationships.
• Mentor junior biologists.

Skills

R

Python

SQL

Stan

Template Model Builder

R Shiny

Education

Master’s degree in fisheries biology / related field

Tools

Job description

ICF is hiring a Senior Data Scientist to support Fish and Aquatic Science and Technology, focusing on Chinook Salmon in California’s Central Valley. This is a remote role from San Francisco, CA, delivering quantitative analyses, decision-support models, and publications for water-resource clients.

You will translate monitoring data into transparent models, contribute to scientific writing, and engage with clients and stakeholders.