RMCC Data Science Intern

## RMCC Data Science Intern Apply:
San Jose, California:
Full time:
Posted Today:
End Date:
December 11, 2026 (29 days left to apply):
JR-25362

This is a summer internship starting May/June and is fully on-site at the listed office location.  
** Company Overview
** At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream—we’re making it a reality.
For over two decades, we’ve been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what’s possible by delivering energy abundance for all.

With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled “time-to-power” capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.
At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.  
** Department Overview
** Remote monitoring control center (RMCC) is responsible for monitoring, optimizing and supporting field services for entire fleet of over 30,000 fuel cells deployed worldwide.  
** Intern Project
** Interns will have a primary project during the summer internship and may work on additional projects. While the project could change by the time of the internship, we anticipate that the main project will involve the following:  Analyze fuel cell operational data, validate existing degradation detection logic, improve detection accuracy, and develop automation to streamline the workflow from detection and validation through notification, tracking, and resolution.

** Position Responsibilities
*** Analyze historical and real-time fuel cell operating data to identify degradation patterns and abnormal operating behavior.
* Validate existing Fuel Cell Degradation Detection algorithms using known historical events and operational data.
* Evaluate detection accuracy, including false positives, false negatives, precision, and recall.
* Develop and optimize algorithms for earlier and more reliable identification of fuel cell degradation.
* Use Python and statistical analysis to evaluate operating trends, thresholds, correlations, and anomalies.
* Develop automated data pipelines and tools to continuously monitor fleet data for potential degradation conditions.
* Automate workflows from detection → validation → notification → action tracking → resolution.
* Develop dashboards and reporting tools to monitor detected conditions and algorithm performance.
* Collaborate with RMCC operators and engineers to validate algorithm results against actual operating conditions.
* Document algorithms, validation methodologies, automated workflows, and performance results.  
** Minimum Qualifications
*** Currently pursuing a Bachelor's or Master's degree in
** Computer Science, Data Science, Software Engineering, Computer Engineering, or a related field**.
* Must be graduating between spring 2027 and summer 2028  
** Desired Qualifications
*** Proficiency in
** Python**.
* Strong understanding of algorithms, data structures, and software development.
* Experience with data analysis using Pandas, Num Py, or similar tools.
*…