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Scientific Data Specialist

Job in Victoria, BC, Canada
Listing for: University of Victoria
Full Time position
Listed on 2026-10-21
Job specializations:
  • Research/Development
    Data Scientist
Salary/Wage Range or Industry Benchmark: 84211 - 92849 CAD Yearly CAD 84211.00 92849.00 YEAR
Job Description & How to Apply Below
Position: Scientific Data Specialist - (991838.1)
Organizational Unit

University of Victoria -> VP Research ->
Ocean Networks Canada

Location

University of Victoria - Victoria, BC V8W 2Y2 CA (Primary)

Posting Close Date

1 November 2026

Please note that positions will close at 4 p.m. on the closing date.

FTE

1.0

Salary Grade

$84,211.00 - $

Salary posted will be pro-rated based on FTE and achieved as per the collective agreement, if applicable.

Additional Posting Information

N/A

Classification

SG12

Start Date

11/16/2026

End Date

3/31/2029

Employee Group:

PEA - Term

# of Hires Needed

1

Category

Science

About this Opportunity

ONC seeks a skilled individual for the role of Scientific Data Specialist. The successful candidate will have an M.Sc. or (ideally) a Ph.D. in a relevant science or engineering discipline. The Scientific Data Specialist will be a key contributor to our Data Analytics and Quality team, driving innovation through the application of advanced computational techniques to complex oceanographic datasets. This role is essential for transforming raw data into actionable insights and valuable data products that support both scientific research and operational needs.

We are looking for a creative problem-solver with a passion for ocean science and a background in machine learning.

General experience with Oceanographic Scientific Device Data, Quality Assurance / Quality Control processes and standards, AI-driven Innovation, Data Product Generation, Research Data Management, User Support and Tool Development are welcome. Expertise in complex oceanographic data, broadly geophysics, and particularly acoustics, tends to align very well with this position.


* This position is eligible for a hybrid flex arrangement*

The salary range for this position is:
  • Recruitment range: $84,211 to $92,849. Starting salary is determined in accordance with the PEA Collective Agreement.
  • Performance range:
    Up to $109,532.
    Progression beyond the recruitment range is available through annual performance increases, in accordance with the PEA Collective Agreement.
Job Summary

The Data Quality and Products team prepares the user requirements for new data products and data access; creates prototypes of data products; implements data quality and integrity measures; and actively interacts with ONC staff and the user community to improve ONCs data product delivery and data services.

The Scientific Data Specialist is responsible for the development of sophisticated data products, including verification and quality assessment of real-time and archived data. These data products enable scientific and non-scientific users to understand, interpret and analyze the information collected via the instruments on the network operated by ONC.

Job Requirements

The Scientific Data Specialist will have a Master’s degree in Earth and Ocean Sciences or a related field and 2-3 years of experience working with data from oceanographic/geophysical instruments, or the equivalent combination of education and experience.

Essential qualifications include excellent problem solving and interpersonal skills as well as a strong quantitative and technical background in relevant fields.

The following knowledge and experience are required:

  • practical experience in Python, Matlab or experience developing data products using computational and data analysis/visualization tools in one or more of the following scientific programming languages:
    Python, Matlab, or R,
  • experience with time series and spatial analysis
  • excellent skills in quantitative data validation
  • experience with handling oceanographic and seismic instruments and their data
  • proven ability to take projects from conception to completion
Preferred:
  • some knowledge of scientific data formats/standards such as netCDF, HDF, SensorML or other XML-based formats used in Earth and…
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