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Home › Jobs › Machine Learning › Scientific Data Specialist - (991838.1)
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Scientific Data Specialist - (991838.1)

University of Victoria
Victoria
Experience1-3 years
Salary CAD 84211 - 109532 per yearly
LocationVictoria
Job TypeFull time
Skills: Machine Learning Python
Job Description
Job Title: Scientific Data Specialist - (991838.1) Company: University of Victoria Job Category: Machine Learning Roles & Responsibilities: 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 \- $109,532\.00 Additional Posting Information N/A Salary posted will be pro\-rated based on FTE and achieved as per the collective agreement, if applicable. 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. Equity Statement: UVic is committed to upholding the values of equity, diversity, inclusion and human rights in our living, learning and work environments. In pursuit of our values, we seek members who are eager to actively participate in that shared responsibility. We actively encourage applications from members of historically and systemically marginalized groups. Accessibility Statement: If you anticipate needing accommodations for any part of the application and hiring process contact: uviccareers@uvic.ca Any personal information provided will be maintained in confidence. Work Location: Victoria, BC, Canada Availability: Full time
Requirements
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 Requirements The Scientific Data Specialist will have a Master’s degree in Earth and Ocean Sciences or a related field and 2\-1-3 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: * some knowledge of scientific data formats/standards such as netCDF, HDF, SensorML or other XML\-based formats used in Earth and Ocean Sciences * some practical experience in C/C\+\+ or Java, XML or HTML and other scripting languages such as IDL, Mathematic is beneficial * some experience with relational databases, modelling and simulation, and using query tools such as SQL Territory Acknowledgement: We acknowledge and respect the Lək̓ʷəŋən (Songhees and Xʷsepsəm/Esquimalt) Peoples on whose territory the university stands, and the Lək̓ʷəŋən and WSÁNEĆ Peoples whose historical relationships with the land continue to this day. Key Skills: Machine Learning, Python Salary: CAD 84211 - 109532 per yearly
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