Scientific Data Specialist
- Victoria, BC, Canada
Full-time
Applications open in a new tab.
Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
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.
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
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 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
- 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
More about this job
Responsibilities
Develop sophisticated scientific data products, including verification and quality assessment of real-time and archived data. Create prototypes, implement data quality and integrity measures, and work with staff and users to improve data products and services.
Requirements
Requires a master’s degree in Earth and Ocean Sciences or a related field, plus 2–3 years of relevant experience or an equivalent combination of education and experience. Required qualifications include practical experience with Python, MATLAB, or R; time-series and spatial analysis; quantitative data validation; oceanographic or seismic instruments and their data; and taking projects from conception to completion.
Skills
- Python
- MATLAB
- R
- Time Series Analysis
- Spatial Analysis
- Quantitative Data Validation
- Data Quality Assessment
- Oceanographic Instrumentation
- Seismic Instrumentation
- Data Product Development
- Problem Solving
- Interpersonal Skills
- Project Management
- Data Analysis
- Data Visualization
Visa sponsorship
Not detected in the job text
Categories
- Science & Research
- Data & Analytics
- Technology
- Environmental & Sustainability
Keywords
- Earth And Ocean Sciences
- Scientific Data Products
- Data Quality
- Data Integrity
- Real-Time Data
- Archived Data
- Data Verification
- Quality Assessment
- Python
- MATLAB
- R
- Time Series Analysis
- Spatial Analysis
- Quantitative Data Validation
- Oceanographic Instruments
- Seismic Instruments
- Data Analysis
- Data Visualization
- netCDF
- HDF
- SensorML
- XML
- C/C++
- Java
- HTML
- IDL
- Relational Databases
- Modelling And Simulation
- SQL