Bloom Energy is seeking to solve the challenge of providing clean, reliable, and affordable energy to critical industries through the deployment of solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies. The company aims to support energy-intensive sectors such as AI-driven data centers, hospitals, and manufacturing facilities by delivering sustainable and scalable energy solutions.
Requirements
- Proficiency in Excel and at least one programming language (e.g., Python, R, SQL).
- Familiarity with data visualization tools (e.g., Tableau, Power BI).
- Strong analytical and problem-solving skills.
- Experience with statistical analysis or machine learning concepts (desired).
- Prior internship or project experience involving data analysis or AI implementation (desired).
- Knowledge of cloud platforms (e.g., AWS, Azure) (desired).
Responsibilities
- Collect, clean, and analyze structured and unstructured data from various sources.
- Build dashboards and reports using tools like Excel, Tableau, Power BI, or similar.
- Assist in identifying trends, patterns, and anomalies in data sets.
- Support the implementation of AI models for predictive analytics, classification, and automation.
- Work with data scientists and engineers to integrate machine learning algorithms into business workflows.
- Document methodologies, findings, and AI model performance in a clear and concise manner.
- Contribute to ad hoc analysis and reporting requests.
Other
- Currently a student earning a Bachelor’s in Data Science, Statistics, Mathematics, Computer Science, or a related field required.
- Must be graduating between May 2026 and August 2027.
- Excellent communication and collaboration skills.
- Attention to detail and a passion for working with data and AI.
- Bloom Energy is unable to provide VISA sponsorship to interns or new grad hires on an F-1, J-1 or other visa for this position, regardless of CPT or OPT status.
