Telecommut
Toast is recruiting on behalf of a growing technology company in the energy and utilities sector. The company builds rugged, sensor-driven monitoring systems deployed on high-voltage electrical infrastructure, using grid signals to detect early signs of failure and help utilities improve reliability, reduce outages, and mitigate wildfire risk. With proven core technology now entering its scaling phase, this small but fast-moving team is based in Kelowna, British Columbia, and works hands-on with utility partners across real-world deployments. They are seeking a Junior Data Analyst to turn field and lab data into actionable insights that support utilities, product development, and machine learning workflows.
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
- 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
- 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
- Application Review
- Vetting Call
- Profile Creation
- Client Submission
