# Senior Data Scientist, Fleet Health at Gridware

- Company: Gridware
- What the company does: With more than 90 million field hours and counting, Gridware is already detecting the small changes that lead to big problems.Together with utility companies, we’re preventing hazards from causing harm. We’re helping crews restore power quickly and safely.... Backed by Sequoia and Y Combinator.
- Company website: https://www.gridware.io/
- Type: Startups
- Level: Senior
- Location: San Francisco, CA
- Work setup: Hybrid
- Pay: $175K to $205K base salary per year (USD)
- Posted: 2025-09-25
- Apply by: 2026-10-12
- Apply: https://jobs.lever.co/gridware/5dbd6f4e-26f1-4cae-833a-32f1c6d70e7b
- Page: https://www.1752.vc/careers/jobs/gridware-senior-data-scientist-fleet-health/

## About the role

The Data Scientist, Fleet Health will be a key member of Gridware’s Fleet team, focused on building fleet health predictive models, thresholds, and optimization frameworks to ensure 99% uptime across our rapidly scaling network of IoT devices. This role will drive the development of advanced intelligence for forecasting device health, predicting potential installation performance, and establishing data-driven criteria for detecting and remediating device degradation.

## What they're looking for

- Bachelor’s, Master’s degree, or PhD in Engineering, Statistics, Data Science, or a related quantitative field
- 5+ years of applied experience in data science with large-scale, real-world systems (IoT, clean tech, connectivity, or related domains)
- Expertise in forecasting, anomaly detection, and predictive modeling, with experience handling time-series, sensor, or geospatial datasets
- Proficiency in Python with scientific and ML libraries (NumPy, Pandas, SciPy, scikit-learn, Keras, PyTorch) and familiarity with data platforms (SQL, Spark, etc.)
- Strong communicator with the ability to design experiments, validate models, and translate technical findings into actionable insights for cross-functional teams

Tags: Fleet