Staff Data Scientist developing advanced machine - learning models for MindBridge Analytics’ enterprise datasets. Leading experimentation, production deployment, technical standards and mentorship.
About the role
- Environmental Data Manager leading development and optimization of data systems across Canada and internationally at SLR Consulting. Ensuring accessible, high-quality data for project teams.
Responsibilities
- Lead the development and optimization of our environmental data systems across Canada and internationally.
- Manage evolving data needs and support diverse project teams to ensure high-quality, accessible data.
- Work with project staff to identify project data management needs and requirements.
- Define, organize, implement, and enforce correct data importing, exporting, collection, management validation, and report workflows and policies.
- Assist with training sessions to aid employees to use the data management system independently and effectively.
- Ensure the proper functioning of data management software (EarthSoft EQuIS).
- Establish standards and processes and help define tools to facilitate data collection, management, and reporting.
- Implement modern technology to expand services to internal project teams and clients.
Requirements
- 2+ years’ experience in environmental data management.
- Bachelor’s Degree in Environmental Engineering/Sciences preferred.
- Experience in the following: Environmental Field & Laboratory Data (EDDs).
- Microsoft Excel.
- Electronic Data Capture.
- EarthSoft EQuIS: EDP, Pro, Enterprise, or Collect.
- Experience with environmental software implementations in a consulting/industrial environment.
- Experience in environmental field sampling, chemistry, analytical data validation, groundwater modeling, data analysis, and/or visualization.
- Experience with mobile data collection using EQuIS Collect, Field Maps for ArcGIS, Survey123, and Tablogs a plus.
- Exposure to database or programming platforms (for example, Microsoft Access, Microsoft SQL Server, Visual Basic for Applications, Python, R or similar).
- Excellent written and verbal communication skills.
- Strong attention to detail with excellent analytical, multitasking, and judgment capabilities.
- Ability to effectively work independently and in a team environment.
Benefits
- Competitive total compensation package including comprehensive benefits, vacation, and a suite of wellness initiatives
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