Bloom Energy's Business Intelligence team aims to enhance the Service Department's strategy through advanced analytics and automation, focusing on tracking fleet performance, forecasting, maintenance planning, and optimizing product performance. This involves developing and implementing machine learning solutions for industrial applications like predictive maintenance and process optimization to improve reliability and efficiency in a rapidly digitizing, energy-intensive world.
Requirements
- Applied Machine Learning experience (regression and classification, supervised, self-supervised, and unsupervised learning)
- Strong mathematical background (linear algebra, calculus, probability, and statistics)
- Proficiency in Python and objected-oriented programming, e.g. JavaScript
- Familiarity with key Python packages for data wrangling, machine learning, and deep learning such as pandas, sklearn, tensorflow, torch, etc.
- Experience with version control software, Github/Gitlab
- Experience with scalable ML (MapReduce, Spark) is a plus
- A portfolio of projects (GitHub, papers, etc.) is a plus
Responsibilities
- Design and deploy machine learning algorithms for industrial applications such as predictive maintenance, and process optimization.
- Collaborate with cross-functional teams to deploy machine learning solutions to drive for optimum performance and reliability
- Assist in collecting, analyzing, and interpreting data to identify trends, patterns, and opportunities for process improvement
- Develop visually appealing and informative data visualizations to effectively communicate insights to stakeholders
- Prepare and maintain documentation related to business processes, data analysis methodologies, and findings
Other
- Currently a student earning a bachelor’s or master’s degree in computer science, data science, statistics or a related discipline.
- Must be graduating between spring 2026 and summer 2027
- Ability to drive a project and work both independently and in a cross-functional team
- Smart, motivated, can-do attitude, and seeks to make a difference in a fast-paced environment.
- Excellent verbal and written communication
