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Geospatial Data Scientist

University of Alberta

This is a Contract position in Winnipeg, MB posted November 14, 2022.

Geospatial Data Scientist SCIABBiodiversityMonitoringIst Competition No.

– S104848894 Posting Date
– Oct 27, 2022 Closing Date
– Nov 17, 2022 Position Type
– Full Time
– Grant Funded Salary Range
– $57,628 to $78,270 per year Grade
– 08 Hours
– 40 This position is a part of the Non-Academic Staff Association (NASA).

This position has a term length of 1 year plus 1 day and offers a comprehensive benefits package which can be viewed on our Benefits Overview page .

Location This is a hybrid position with a mix of remote and in-person at North Campus Edmonton.

Working for the University of Alberta The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all First Peoples of Canada, whose presence continues to enrich our vibrant community.

The University of Alberta is teeming with change makers, community builders, and world shapers who lead with purpose each and every day.

We are home to more than 40,000 students in 200 undergraduate and 500 graduate programs, over 13,000 faculty and staff, 260,000 alumni worldwide and have been recognized as one of Canada’s Greenest Employers for over a decade.

Your work will have a meaningful influence on a fascinating cross section of people—from our students and stakeholders, to our renowned researchers and innovators who are quite literally curing diseases, making discoveries and generating solutions that make the world healthier, safer, stronger, and more just.

Position Working with the ABMI’s Geospatial, Science, and Information Centers, the Geospatial Data Scientist is responsible for leading the development, implementation, and management of geospatial data analyses that support the ABMI’s goal of enhancing environmental monitoring and reporting across the province.

This includes, but is not limited to applying machine learning and big data exploration to support geospatial needs related to scientific analysis of ABMI’s species, habitat and human footprint data and data products.

The Geospatial Data Scientist is responsible for developing and implementing geospatial data analysis approaches to produce layers that will support environmental monitoring at regional and provincial scales.

The Geospatial Data Scientist will interact with the ABMI’s staff on matters related to project/task management, data and knowledge analyses, QA/QC processes, and big data processing issues.

The ABMI is looking for an outstanding Geospatial Data Scientist with ability to collaborate on strategic natural resource monitoring initiatives through gathering, processing and analysis of wide range of big geospatial data.

Duties Primary duties involve the development and implementation of data processing and analysis of wide range of big geospatial data, including but not limited to large scale optical, radar, and LiDAR datasets for developing landcover and habitat monitoring system Strong hands-on expertise with big data processing and visualization and applications of cloud computing environment (e.g., Google Earth Engine) and machine learning for big data analyses Strong ability to investigate and apply emerging geospatial analytical approaches to landscape and biodiversity monitoring that will be integrated other environmental information produced by the ABMI to facilitate environmental monitoring in Alberta Strong ability to coordinate and undertake quality assurance on work prior to passing it on and coordinate independent audits as required Strong communication and interpersonal skills for effective and efficient interaction with ABMI staff and public when required Strong organizational skills, including the ability to work independently or within project teams of various sizes Ability to work with various project management approaches, depending on project nature and scope Strong ability to summarize and export required geospatial information as required for analyses and distributing information to other ABMI staff, key stakeholders and public Provides support to ABMI’s other centres on matters related to understanding and application of big geospatial data analyses to improve the work quality and solutions Minimum Qualifications Graduate degree in geospatial sciences, remote sensing and natural resource sciences preferred (desirable training and skills include but are not limited to Data Science and big geospatial data analyses); minimum of a Bachelor’s degree Minimum of five years of geospatial data science work experience and strong hands-on experience with geospatial analysis and applied geospatial statistics Proficient and thorough understanding of geospatial science, remote sensing, and spatial analysis principles and applications Familiar with a variety of technologies capable of processing of large spatial data (i.e., Google Earth Engine) with training and skills that include but are not limited to a variety of technologies capable of storing spatial data (i.e., ArcSDE, SQL Server, etc.) Preferred Qualifications Superior written and verbal communications skills Strong planning ability and demonstrated strategic thinking Team oriented with excellent relationship-building skills Ability to work independently, prioritize, adapt to rapidly shifting priorities and manage projects from start to completion How to Apply Apply Online Note: Online applications are accepted until midnight Mountain Standard Time of the closing date.

We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.

The University of Alberta is committed to an equitable, diverse, and inclusive workforce.

We welcome applications from all qualified persons.

We encourage women; First Nations, Métis and Inuit persons; members of visible minority groups; persons with disabilities; persons of any sexual orientation or gender identity and expression; and all those who may contribute to the further diversification of ideas and the University to apply.