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Sr. Staff Data Scientist
Bloom Energy
- United States
- United States
Über
For over two decades, we've been at the forefront of the global energy transition, pioneering solutions that empower critical industries to thrive in a rapidly digitizing, energy-intensive world. From revolutionizing power for AI-driven data centers to ensuring resilience for hospitals, electric grids, manufacturing facilities, and utilities, our solid oxide fuel cell (SOFC) and solid oxide electrolyzer (SOEC) technologies are redefining what's possible by delivering energy abundance for all. With more than 30,000 fuel cell modules deployed worldwide, we are the trusted partner for Fortune 100 companies and innovators alike. Our cutting-edge solutions enable unparalleled "time-to-power" capabilities, reliability, and sustainability, ensuring our customers remain ahead in a world where soaring energy demand and intensifying energy scarcity are rapidly becoming the new norm.
At Bloom, we thrive on collaboration, bold thinking, and relentless innovation. We believe that, together, we can create a brighter, more sustainable future while tackling the most pressing challenges of the 21st century.
We are seeking a
Sr. Staff Process Data Scientist
to join our Data Science team, where you will apply deep chemical engineering expertise alongside coding, analytics, and automation to improve, scale, and optimize complex manufacturing processes.
This role sits at the intersection of process engineering, data science, and software, focusing on building scalable, data-driven solutions rather than day-to-day operations.
This role will report to Sr. Principal Engineer, Data Science and is based in
San Jose, CA.
This is a fully on-site, in office role 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 , with the ability to connect theory to real-world applications 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
Bloom Energy is an equal opportunity employer and makes employment decisions on the basis of merit. We are committed to compliance with all applicable laws providing equal employment opportunities. All qualified applicants, will receive consideration for employment without regard to race, sex, color, religion, national origin, protected veteran status, or on the basis of disability. Bloom Energy makes reasonable accommodations, consistent with applicable laws, for the known physical or mental limitations of an otherwise qualified applicant or employee
with a disability, who can perform the essential job functions, unless undue hardship would result.
Bloom Energy is committed to fair and equitable compensation practices. The total compensation for this position includes standard company benefits and is based on various factors including, but not limited to, relevant skills and experience.
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Salary Ranges: $151,700.00 - $218,300.00
Sprachkenntnisse
- English
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