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Full Time Chemical Engineering Data Science Jobs

Bloom Energy

Sr. Staff Data Scientist

San Jose, CA · On-site

... 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 ...

Bloom Energy

Sr. Staff Data Scientist

San Jose, CA · On-site

... 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 ...

ChampionX

Chemical Data Scientist

Sugar Land, TX · On-site

We are looking for a highly motivated Chemical Data Scientist in our Chemical Artificial ... D. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering or related fields with 6+ ...

ChampionX

Chemical Data Scientist

Sugar Land, TX · On-site

We are looking for a highly motivated Chemical Data Scientist in our Chemical Artificial ... D. in Chemistry, Geology, Chemical Engineering, Petroleum Engineering or related fields with 6+ ...

BWX Technologies

Engineering Data Scientist

Lynchburg, VA · On-site +1

$62K - $97K/yr

A Bachelor's degree in a Science or Engineering field (e.g. mechanical, nuclear, electrical, computer) is required, with a concentration in or project experience with data science techniques. * A ...

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Full Time Chemical Engineering Data Science information

What is the difference between Full Time Chemical Engineering Data Science vs Full Time Chemical Engineering?

AspectFull Time Chemical Engineering Data ScienceFull Time Chemical Engineering
Required CredentialsBachelor's or Master's in Chemical Engineering, Data Science, or related fields; programming skillsBachelor's or Master's in Chemical Engineering; engineering fundamentals
Work EnvironmentResearch labs, data analysis teams, cross-disciplinary projectsManufacturing plants, process design, R&D facilities
Industry UsageData-driven process optimization, predictive modeling in chemical industriesProcess design, safety, and operations in chemical manufacturing

Full Time Chemical Engineering Data Science combines chemical engineering principles with data analysis skills, focusing on data-driven decision making. In contrast, Full Time Chemical Engineering emphasizes process design and operations. Both roles require a chemical engineering background, but data science roles demand additional programming and analytics expertise, often working in more interdisciplinary environments.

What cities are hiring for Full Time Chemical Engineering Data Science jobs? Cities with the most Full Time Chemical Engineering Data Science job openings:
What are the most commonly searched types of Chemical Engineering Data Science jobs? The most popular types of Chemical Engineering Data Science jobs are:
What states have the most Full Time Chemical Engineering Data Science jobs? States with the most job openings for Full Time Chemical Engineering Data Science jobs include:
Full Time Chemical Engineering Data Science jobs near you
Sr. Staff Data Scientist

Sr. Staff Data Scientist

Bloom Energy

San Jose, CA • On-site

Full-time

Posted 24 days ago

Bloom Energy rating

9.2

Company rating: 9.2 out of 10

Based on 9 frontline employees who took The Breakroom Quiz

15th of 419 rated machine equipment manufacturers

Job description

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more than just a dream-we're making it reality.
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

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