Scientific Data Specialist
- Victoria, BC, Canada
Full-time
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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 data products, including verification and quality assessment of real-time and archived data collected by network instruments. Work with ONC staff and the user community to improve data product delivery and data services.
Requirements
A Master’s degree in Earth and Ocean Sciences or a related field, plus 2–3 years of experience working with oceanographic or geophysical instrument data, or equivalent education and experience, is required. Candidates need practical experience with Python, MATLAB, or R; time series and spatial analysis; quantitative data validation; and handling oceanographic and seismic instruments and their data.
Skills
- Python
- MATLAB
- R
- Time Series Analysis
- Spatial Analysis
- Quantitative Data Validation
- Data Quality Assessment
- Data Integrity
- Oceanographic Instrumentation
- Seismic Instrumentation
- Data Product Development
- Data Analysis
- Data Visualization
- Problem Solving
- Project Management
- Interpersonal Communication
Visa sponsorship
Not detected in the job text
Categories
- Science & Research
- Data & Analytics
- Environmental & Sustainability
- Technology
Keywords
- Python
- MATLAB
- R
- C/C++
- Java
- XML
- HTML
- IDL
- Mathematica
- SQL
- NetCDF
- HDF
- SensorML
- Relational Databases
- Time Series Analysis
- Spatial Analysis
- Data Quality
- Data Integrity
- Quantitative Data Validation
- Data Product Development
- Data Analysis
- Data Visualization
- Oceanographic Instruments
- Seismic Instruments
- Real-Time Data
- Archived Data
- Scientific Data Standards
- Modeling and Simulation
- Earth and Ocean Sciences