On-Site Senior Data Scientist - Process & Digital Twins

Bloom Energy; San Jose (CA); On-site; USD 151,700 - 218,300; Full time

Job summary

Bloom Energy is looking for a Sr. Staff Process Data Scientist in San Jose, CA to build data-driven solutions for complex manufacturing processes. This role requires strong programming skills and the ability to analyze large-scale datasets while partnering with engineers and data scientists.

Applicants need an MS or PhD in engineering or physical sciences with over 6 years of experience in relevant fields. The role is fully on-site and offers a competitive salary ranging from $151,700 to $218,300.

Qualifications

• 6+ years of industry experience in manufacturing or process-oriented environments.
• Strong ability to translate engineering challenges into data-driven solutions.
• Experience with complex systems involving sensors or process data.

Responsibilities

• Design and develop Python-based tools for engineering analysis.
• Build and maintain digital twins and advanced analytics models.
• Analyze manufacturing datasets to identify yield and throughput opportunities.

Skills

Process modeling & engineering fundamentals

Programming & data analysis (Python, NumPy, Pandas, SciPy)

Machine learning for physical systems

Problem‑solving & ownership

Education

MS or PhD in relevant engineering or physical sciences

Tools

Python

Azure

AWS

GCP

Job description

Bloom Energy is looking for a Sr. Staff Process Data Scientist in San Jose, CA to build data-driven solutions for complex manufacturing processes. This role requires strong programming skills and the ability to analyze large-scale datasets while partnering with engineers and data scientists.

Applicants need an MS or PhD in engineering or physical sciences with over 6 years of experience in relevant fields. The role is fully on-site and offers a competitive salary ranging from $151,700 to $218,300.