At a Glance
- Tasks: Develop and enhance data products for scientific analysis and user engagement.
- Company: Join a leading organization focused on ocean and earth sciences.
- Benefits: Competitive salary, professional development, and opportunities to work with cutting-edge technology.
- Other info: Collaborative environment with opportunities for career advancement.
- Why this job: Make a real impact by improving data accessibility for scientific communities.
- Qualifications: Master’s degree in Earth and Ocean Sciences and experience with data analysis tools.
The predicted salary is between 94500 - 115500 $ per year.
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 ONC's 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.
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
- 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 qualifications include:
- 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, Mathematica is beneficial
- Some experience with relational databases, modelling and simulation, and using query tools such as SQL
Scientific Data Specialist in Victoria employer: University of Victoria
The University of Victoria is an exceptional employer, offering a vibrant work culture that values diversity and inclusion while supporting employee growth through professional development opportunities. Located in beautiful Victoria, BC, employees benefit from a hybrid work arrangement, competitive salaries, and the chance to contribute to meaningful initiatives that enhance the university's reputation as a leading research institution.
