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Junior Data Analyst

Remote / Online - Candidates ideally in
NT, Canada
Listing for: Toast
Remote/Work from Home position
Listed on 2026-06-14
Job specializations:
  • IT/Tech
    Data Analyst, Machine Learning/ ML Engineer, Data Science Manager, Data Scientist
Salary/Wage Range or Industry Benchmark: 60000 - 80000 CAD Yearly CAD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Responsibilities

  • Analyze lab and field data from sensor systems deployed on high-voltage infrastructure
  • Support data science workflows including model training, evaluation, and reporting
  • Build dashboards and visualizations that help internal teams and utility partners understand system performance
  • Prepare, clean, label, and organize datasets for analysis and machine learning
  • Package analysis results into clear reports, dashboards, and customer-facing insights
  • Work with engineers and data scientists to understand signal quality, field behaviour, and asset conditions
  • Use Git and standard development workflows to collaborate with the technical team
  • Contribute to software and data tools that support pilots, deployments, and product development
  • Support model development using tools such as PyTorch Lightning
  • Travel occasionally for field deployments, utility meetings, team planning, and project work
  • Collaborate across teams to understand different utility environments, customer needs, and deployment contexts
Qualifications
  • 2+ years of industry experience in data analysis, data science, software, or a related technical role
  • Experience with data science workflows including data preparation, model training, and analysis
  • Some software development experience
  • Experience using Git
  • Familiarity with PyTorch Lightning or similar machine learning frameworks
  • Programming experience in one or more of Python, C++, Java, or PHP
  • Ability to work well in cross-functional teams
  • Strong communication skills and the ability to explain technical findings clearly
  • Willingness and ability to travel occasionally
  • Hybrid work setup with Tuesdays generally in office, though remote work is possible for this role
  • It is considered an asset if you have experience working with utilities, energy systems, asset management, or industrial infrastructure
  • Exposure to sensor data, IoT systems, or field-deployed hardware would be a plus
  • Candidates with experience building dashboards for technical or operational users will stand out
  • Previous experience contributing to product-grade code is nice to have
  • Comfort working in a fast-moving startup environment where priorities evolve quickly is an asset
Benefits
  • 5 weeks of vacation per year plus a mandatory paid Christmas shutdown, well above the typical 2 to 3 weeks offered for junior roles
  • Remote-friendly work arrangement with travel covered for company quarterlies, planning sessions, and field work
  • Tangible impact: the models you train and dashboards you build will run on data from live high-voltage infrastructure, directly informing decisions that prevent outages and reduce wildfire ignition risk in real communities
  • Your work will not sit in a slide deck. It will shape how utilities monitor and protect critical assets, and you will see the results in actual field deployments
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