Bloom Energy is seeking a Sr. Staff Process Data Scientist to join our Data Science team in San Jose, CA. The role focuses on building scalable, data‑driven solutions for complex manufacturing processes, working at the intersection of process engineering, data science, and software.
The role reports to the Sr. Principal Engineer, Data Science.
This is a fully on‑site, in‑office role for 5 days a week.
Key Responsibilities
- Design and develop Python‑based tools, pipelines, and automated workflows for engineering analysis.
- Build, deploy, and maintain digital twins, soft sensors, and advanced analytics models for process optimization.
- Analyze large‑scale manufacturing datasets (including time‑series and historian data) to identify opportunities in yield, throughput, and reliability.
- Partner cross‑functionally with process engineers, data scientists, and software engineers to operationalize solutions in production environments.
- Translate complex process engineering challenges into scalable data models and software implementations.
- Own ambiguous, high‑impact problems and drive them from model concept through validation, deployment, and monitoring.
Required Qualifications
- MS or PhD in Chemical Engineering, Mechanical Engineering, Electrical Engineering, or a related field in the physical sciences (e.g., Physics, Chemistry, Applied Mathematics).
- 6+ years of industry experience, with demonstrated impact at a senior or staff level in industrial, manufacturing, or process‑oriented environments.
- Strong ability to translate physical systems and engineering/scientific problems into data‑driven models and production‑grade code.
- Solid foundation in first principles, physical systems, and process understanding.
- Experience working with complex systems involving sensors, instrumentation, or process data.
Core Skills
- Process modeling & engineering fundamentals
- First‑principles modeling, scale‑up, and root‑cause analysis
- Programming & data analysis (Python, NumPy, Pandas, SciPy, visualization libraries)
- Automation of engineering calculations and analytical workflows
- Data engineering & analytics: large‑scale datasets, time‑series analysis, and process historian data
- Machine learning for physical systems, statistical modeling, hybrid modeling (physics + ML), or ML applied to process optimization
- Problem‑solving & ownership: ability to operate in ambiguous environments and deliver end‑to‑end solutions.
Nice‑to‑Have (Optional but Valuable)
- Experience with digital twin platforms or industrial AI frameworks.
- Familiarity with cloud environments (Azure, AWS, or GCP) and MLOps pipelines.
- Experience deploying models into real‑time or near real‑time production systems.
- Knowledge of semiconductor, chemicals, energy, or advanced manufacturing processes.
Compensation
Salary Range: $151,700.00 - $218,300.00.
Bloom Energy is an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or disability. Bloom Energy provides reasonable accommodations for known physical or mental limitations of a qualified applicant or employee with a disability, unless undue hardship would result.
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