About the role#
The Remote Monitoring Control Center (RMCC) team monitors, optimizes, and supports a global fleet of over 30,000 fuel cells. As a Data Science Intern, you will focus on analyzing fuel cell operational data to identify degradation patterns and abnormal behaviors. You will work on validating existing detection logic, improving algorithm accuracy, and building automated tools to streamline the entire workflow from initial detection to final resolution.
What you'll do#
- Analyze historical and real-time fuel cell data to spot operating trends and anomalies.
- Validate existing Fuel Cell Degradation Detection algorithms against known historical events.
- Evaluate algorithm performance using metrics like precision, recall, and false positive rates.
- Develop and optimize algorithms for more reliable identification of degradation.
- Build automated data pipelines to monitor fleet health continuously.
- Create dashboards and reporting tools to track algorithm performance and detected conditions.
- Automate workflows that handle detection, notification, action tracking, and resolution.
- Collaborate with RMCC engineers and operators to verify results against actual field conditions.
- Document your methodologies, workflows, and performance results.
What you'll need#
- Current enrollment in a Bachelor's or Master's degree program in Computer Science, Data Science, Software Engineering, or Computer Engineering.
- Expected graduation date between spring 2027 and summer 2028.
- Proficiency in Python and experience with data analysis libraries like Pandas or NumPy.
- Solid understanding of algorithms, data structures, and software development practices.
- Experience with SQL, NoSQL databases, REST APIs, Git, and building data pipelines.
- Knowledge of statistical analysis, time-series analysis, classification, or anomaly detection.
- Familiarity with machine-learning libraries and developing monitoring applications or dashboards.
- Strong problem-solving skills and the ability to work with large datasets.
- An interest in energy systems, predictive analytics, or reliability engineering.
Location & details#
- Location: San Jose, California.
- Term: Summer 2027.
- Work Modality: This is a full-time, on-site position.
- Pay: $36.00 to $39.00 per hour.
- Note: Visa sponsorship is not available for this role.
About Bloom Energy
Bloom Energy manufactures solid-oxide fuel cell systems for distributed electricity and hydrogen generation. Founded in 2001, the company provides on-site power solutions to clients in sectors such as data centers, healthcare, and manufacturing. It is a public company based in San Jose, California. The organization employs approximately 2,420 people to support its global operations.
How to get in at Bloom Energy
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