
Scientific Data Specialist
- Sedgewick, AB
- $79,376-103,243 per year
- Permanent
- Full-time
- Hydrophone Calibration and Performance: Documenting calibration processes and associated issues, as well as any performance issues exhibited by hydrophones.
- Acoustic Data Quality Control and Assurance: Apply acoustic principles and measurement techniques to support acoustic data quality assurance / quality control.
- Data Product Development: Creating innovative passive acoustic data products, such as those that characterise the underwater soundscape according to community standards and that track the directionality of noise sources as measured by hydrophone arrays. A particular focus will be on noise-related products, including creating curated datasets and reports.
- Detection, Identification and AI-Driven Innovation: Developing advanced AI-based identification capabilities to automate the detection and classification of natural physical phenomena (such as rain, hydrothermal venting, geomorphic and seismic events) as well as anthropogenic noise sources (such as ship engines and underwater construction) using standard scientific programming languages.
- User Support: Providing technical support to researchers and other users, including data provisioning and assistance in data analysis.
- Recruitment range: $79,376 - $87,518 starting salary determined by the PEA Collective Agreement.
- Performance range: $103,243 salary range ceiling is available through annual performance increases.
- 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
- 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