Data Specialist, Assessment

Esri Canada has an exceptional opportunity for a Data Specialist to join our Assessment department.

Reporting to the Director, Software Development Assessment, this role is responsible for designing, building, and maintaining reliable, scalable data pipelines and data infrastructure that enable advanced analytics, modeling, and data‑driven product capabilities. The role is focused on data ingestion, transformation, integration, performance optimization, and modeling.

Working closely with software developers, product managers, and business stakeholders, this role ensures high‑quality, well‑governed data is available for analysis and supports the development, validation, and operationalization of analytical and predictive models within an enterprise software environment.

This role is fully remote within

Canada.

Esri Canada provides geographic information system (GIS) solutions that empower people in business, government and education to make informed and timely decisions by leveraging the power of mapping and spatial analytics.

If you are passionate about making an impact in an organization that’s committed to creating a sustainable future, consider joining our team!

• Design, develop, test, and maintain scalable, reliable data pipelines and data integration processes to support analytics, modeling, and product features.
• Build and optimize data models, data stores, and transformation workflows to ensure data performance, accuracy, and maintainability.
• Collect, ingest, clean, and integrate large volumes of structured and unstructured data from multiple internal and external sources, ensuring data quality, integrity, and analytical readiness.
• Collaborate with software developers and platform teams to integrate data pipelines and analytics capabilities into production systems and enterprise software solutions.
• Monitor, troubleshoot, and improve data pipeline performance, reliability, and scalability, contributing to operational stability and continuous improvement.
• Develop, evaluate, and refine descriptive, predictive, and diagnostic models using statistical and machine learning techniques such as regression, classification, clustering, and time series analysis.
• Translate analytical and modeling outputs into clear, actionable insights through data visualization, dashboards, reports, and presentations tailored to technical and non-technical stakeholders.
• Support the operationalization of analytical and predictive models, including deployment, monitoring, and ongoing maintenance in production environments.
• Contribute to continuous improvement initiatives by researching, evaluating, and applying emerging data engineering, analytics, and data science tools, technologies, and best practices.

• Participate collaboratively in the company Employee Development Program.
• Communicate effectively with internal and external personnel at all levels representing the company in a professional manner at all times.
• Actively participate in company, staff or individual one-on-one meetings on an ongoing basis for the purposes of effective teamwork, enhanced communication and progressive co-operation strategies within the company as well as other departments across the company.
• Continually contribute to the profitability of the company and ongoing business operations by initiating, recommending and implementing continuous improvement strategies and initiatives.
• Conduct any general duties, specific job projects and responsibilities as assigned or required by the Director or Esri Canada management in a timely and professional manner.
• University degree in data science, computer science, statistics, mathematics, engineering, or a related quantitative discipline.

• 3+ years of experience in data analysis, data science, or applied analytics roles within a technology, consulting, or data driven business environment.
• Demonstrated experience developing and validating statistical and machine learning models using programming languages such as Python or R, and querying data using SQL.
• Experience working with large datasets and…