Marine Data Scientist for Fisheries Analytics

University of British Columbia; Vancouver; On-site; CAD 74,000 - 106,000; Full time

Job summary

The University of British Columbia seeks an SAU Data Scientist to drive machine-learning based fisheries analysis within the Sea Around Us project. You will redesign data-processing workflows and build scalable data visualization interfaces for the public database.

Working with a cross-disciplinary team, you will ensure robust, transparent analytical methods, integrate diverse datasets, and contribute to open science by documenting workflows and training materials.

Qualifications

• Post-graduate degree in Statistics.
• Minimum of two years of related experience in research analysis.
• Proficient in Python and R for data analysis and modeling.
• Ability to design and implement ML driven analyses with robust documentation.

Responsibilities

• Define study design parameters and select suitable statistical methods.
• Develop, implement, and maintain analytical models across projects.
• Collaborate with PI and team to ensure alignment with objectives.
• Create validation workflows and document methodologies for reproducibility.
• Prepare reports and training materials for broader dissemination.

Skills

Data analysis

Statistical modelling

Research experience

Communication

Education

Post-graduate degree in Statistics

Tools

Python

R

SQL

MS Excel

Pandas

scikit-learn

PyTorch

AWS S3

AWS EC2

AWS RDS

Job description

The University of British Columbia seeks an SAU Data Scientist to drive machine-learning based fisheries analysis within the Sea Around Us project. You will redesign data-processing workflows and build scalable data visualization interfaces for the public database.

Working with a cross-disciplinary team, you will ensure robust, transparent analytical methods, integrate diverse datasets, and contribute to open science by documenting workflows and training materials.