WSP Canada has an immediate opening for a Climate Data Specialist to join our Climate Change, Resilience, and Sustainability team supporting our Climate Risk and Resilience practice. As a Climate Data Specialist, you will be part of a national team of climate change engineers and scientists who support our clients to plan, deliver and maintain resilient assets across Canada.
Within the Environment Business Line, our team regularly collaborates with other teams in Environment and our colleagues from Buildings, Transportation, Energy, and Infrastructure. You will also be part of WSP's global network, and you'll collaborate regularly with our resilience and sustainability colleagues around the world.
You will work closely with your teammates in climate science and resilient infrastructure, including the practice lead for Climate Risk and Resilience. You will have the opportunity to grow in your career as part of this team that delivers projects for public and private clients. You will be a part of WSP Canada's wider Climate Change, Resilience and Sustainability team, which aims to be Canada's leading climate change consulting team.
We aim to grow our team with individuals from a diverse range of backgrounds as we believe that this will offer a selection of talents, skills and experiences which benefits our team through creativity, greater innovation, and the offer of a range of perspectives and ideas. The ideal candidate will have the flexibility and capacity to work on a wide variety of projects and the demonstrated ability to work well with cross-functional teams.
You can be based in any major city centre in Canada and will have opportunities to relocate within the country in the coming years and our team grows.
Work on the development and application of technical workflows for analyzing environmental data, including downscaled climate model output, to develop climate projections for several different weather phenomena (e.g., precipitation, temperature, snow) and to assess current and future exposures.
Leverage tools and analysis methods to identify and address challenges in climate datasets
Support the quantitative analysis of exposure, vulnerability, risks, and resilience associated with long-term climate change considerations for a range of clients such as municipalities and infrastructure agencies.
Prepare documentation that succinctly summarizes methodologies and results for technical and lay audiences.
Participate on multiple projects delivering on project commitments through effective coordination with internal colleagues, external resources and agencies, and consulting team partners.
Contribute to a diverse team of experts working to advance the Climate Risk & Resilience Services practice through effective data-driven analysis and decision-making.
Participate in the quality control operations of the climate analysis portions of our projects and contribute to the definition of our best practices to ensure consistency and scientific robustness throughout our climate change risk assessment processes.
Contribute to research and development initiatives to build innovative practices in the field of climate change risk and resilience.
Focus on collaborating with all national business lines within WSP providing advisory services with a focus on climate science, climate risks and adaptation planning.
Undergraduate or graduate degree in data science, hydrology, meteorology, atmospheric science, climate science, environmental engineering or a related field
Must have strong computer skills including programming skills (e.g., Python) and data management and processing skills related to model output (e.g., familiarity with NETCDF file formats)
Proficiency in version control systems (e.g., Git, GitHub) for managing code and collaborating on projects
Experience working with tools and/or coding scripts for effective data processing, analysis, and visualization.
Experience routinely working on coding projects and adapting scripts and programs written by colleagues, enhanced by a strong aptitude in standard programming practices.
Experience with high-performance computing (HPC) and parallel processing in cloud environments (e.g., AWS, Google Cloud, Azure).
Strong statistics background, preferably with demonstrated experience in statistical methods for meteorological data infilling and trend analysis
Experience with climate change models and data portals, preferably with demonstrated experience in statistical and dynamical downscaling
Experience with AI and machine learning would be an asset
Preferable candidates will understand:
+ Frequency analysis of extreme climate events (e.g., extreme rainfall, IDF curves)
+ Quantifying and correcting for statistical bias in climate datasets
+ Hazard modeling approaches that use climate data as inputs (e.g., hydrologic modeling, flood and storm surge modeling, wildfire modeling).
+ Conducting climate-related vulnerability and risk assessments
Experience communicating orally and in writing technical analysis and results to non-technical audiences using data visualization and maps.
Attention to detail; commitment and skills to identify and detect errors; commitment to thorough quality reviews and checks; and commitment to accuracy, correctness, and excellence.
Ability to innovate on challenging topics to produce client-tailored products.
Experience working independently and on efforts requiring remote collaboration.
You enjoy taking on new challenges that will enhance your professional growth, and you enjoy collaborating on a national, and international level.
BGV:
Employment with WSP India is subject to the successful completion of a background verification ("BGV") check conducted by a third-party agency appointed by WSP India.
Candidates are advised to ensure that all information provided during the recruitment process -- including documents uploaded -- is accurate and complete, both to WSP India and its BGV partner".
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