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Gridware

Data Scientist, Forecasting

Join Gridware in San Francisco as a Data Scientist focused on forecasting weather-driven grid events. This role involves building predictive models to enhance grid safety and efficiency. Enjoy benefits like paid parental leave, commuter allowance, and a unique two-week paid break called 'Off the Grid.'
Gridware
Gridware
San Francisco, California, United States On-site Full time USD 180k–200k yearly UTC-08:00

Gridware

Company Overview

Gridware

California, United States

2020

Approximately 30 employees (source: businessinsider.com).

What They Do

Gridware is a pioneering startup focused on enhancing grid resilience through innovative technology. Their core offering, Active Grid Response (AGR), utilizes pole-mounted Gridscope sensors that monitor various conditions on distribution power lines in real-time. These sensors are powered by solar energy and communicate through device-to-device, cellular, and satellite networks, ensuring continuous operation regardless of grid voltage (source: gridware.io). The technology is designed to detect a range of issues, including vegetation contact, downed lines, and equipment failures, enabling utilities to perform predictive maintenance and dynamic de-energization to prevent wildfires and outages (source: cbsnews.com). Target markets include U.S. electric utilities, particularly in wildfire-prone areas like California and the Midwest, with plans for international expansion in the future (source: promptloop.com). Their products integrate seamlessly with utility operations management systems, covering over 90 million field hours and serving 40% of U.S. customers through partnerships (source: gridware.io).

Projects & Track Record

Gridware has successfully deployed approximately 13,000 sensors across eight states, particularly in California's high-risk wildfire areas, covering around 1,000 miles of power lines. Their technology has been credited with preventing wildfires, as evidenced by reports of alerts that stopped smoldering vegetation from igniting (source: cbsnews.com). Notable integrations include partnerships with PG&E for high impedance fault detection and a pilot project with Puget Sound Energy aimed at improving storm and wildfire repair prioritization. In one instance, a Northern California circuit experienced a 70% reduction in outage patrol times, while a Midwest utility saved 400,000 outage minutes across four circuits (source: gridware.io). Ongoing projects include a 2024 pilot with NorthWestern Energy in Montana City, focusing on real-time asset monitoring to mitigate wildfire risks (source: northwesternenergy.com).

Recent Developments

In the past two years, Gridware has raised significant funding to support its growth and expansion efforts. In 2024, they announced a $26.4 million Series A funding round led by Sequoia Capital, following a $10.5 million seed extension in 2023 co-led by Lowercarbon Capital and Fifty Years (source: gridware.io). This funding is aimed at enhancing their U.S. operations and preparing for international deployments. Additionally, Gridware has received recognition for its innovative technology, including being named one of Time magazine's Best Inventions in 2022 for their Gridscope sensors and having founders featured in Forbes 30 Under 30 in 2023 (source: engineering.berkeley.edu). The company continues to deepen its partnerships with utilities, including a pilot program with NorthWestern Energy set for late 2024 (source: northwesternenergy.com).

Working There

Gridware offers a variety of engineering-focused roles, including positions in software engineering, electrical design engineering, data engineering, and technical recruiting. The company is built by linemen and engineers, reflecting a culture that emphasizes collaboration with field workers and a mission-driven approach to wildfire prevention (source: climatepeople.com). Hiring is concentrated at their Bay Area headquarters, where they are rapidly expanding their team to support sensor production and deployment efforts. The culture at Gridware is described as rigorous and mission-oriented, with a strong focus on achieving real-world results, such as the significant field hours logged by their technology (source: gridware.io). While specific employee benefits are not detailed in the sources, the venture-backed nature of the company suggests competitive startup perks may be available (source: cbsnews.com).


Last updated on Feb 23, 2026 | Report an issue

Gridware is a San Francisco-based technology company dedicated to protecting and enhancing the electrical grid. We pioneered a groundbreaking new class of grid management called active grid response (AGR), focused on monitoring the electrical, physical, and environmental aspects of the grid that affect reliability and safety. Gridware's advanced Active Grid Response platform uses high-precision sensors to detect potential issues early, enabling proactive maintenance and fault mitigation. This comprehensive approach helps improve safety, reduce outages, and ensure the grid operates efficiently. The company is backed by climate-tech and Silicon Valley investors. For more information, please visit www.Gridware.io.

Role Description

As a Senior Data Scientist, you will be directly embedded into Gridware's operations and analytics team and play a critical role in helping forecast weather based events, staffing of analysts, and gain a deeper understanding of how dynamic Gridware's operations center can be.

Responsibilities

  • Build and productionize forecasting models to predict weather-driven grid events, hazard incidence, and downstream operational workload.
  • Develop demand forecasts for analyst staffing, incorporating weather signals, seasonality, geographic deployment footprint, and historical event patterns.
  • Quantify relationships between environmental factors (e.g., wind, precipitation, temperature, vegetation conditions) and hazard/event types across service territories.
  • Design end-to-end modeling pipelines, including data ingestion, feature engineering, model validation, deployment, and monitoring.
  • Establish model performance tracking, drift detection, and retraining strategies to ensure reliability in dynamic conditions.
  • Translate model outputs and uncertainty into clear, actionable recommendations for operational leadership.

Required Qualifications

  • 5+ years of experience building and deploying models into production environments
  • Experience with forecasting models
  • Strong programming skills with demonstrated proficiency in Python and SQL
  • Experience working within modern software stacks, including cloud platforms, containerization, and CI/CD workflows
  • Experience working cross-functionally with operations or business stakeholders

Bonus Qualifications

  • Experience working with weather data
  • Experience with Geospatial tooling (GIS tools, GeoPandas, etc.)

$180,000 - $200,000 a year

This describes the ideal candidate; many of us have picked up this expertise along the way. Even if you meet only part of this list, we encourage you to apply!

Benefits

  • Health, Dental & Vision (Gold and Platinum with some providers plans fully covered)
  • Paid parental leave
  • Alternating day off (every other Monday)
  • "Off the Grid", a two week per year paid break for all employees.
  • Commuter allowance
  • Company-paid training

Apply now

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About the role

March 19, 2026

Full time

Company

March 19, 2026

On-site

USD 180k–200k yearly

Smart Grid

Gridware

gridware.io

  •  San Francisco, California, United States

5+ years

UTC-08:00