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Chemical Engineering Data Science Jobs (NOW HIRING)

... 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 ...

... 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 ...

Chemical Engineering Analyst Location: Sardis, MS Base Salary: $50,000-$70,000. Company Overview ... This role will drive process optimization, equipment validation, data analysis, and innovation ...

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 ...

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 ...

Chemical Engineering Analyst Location: Sardis, MS Base Salary: $50,000-$70,000. Company Overview ... This role will drive process optimization, equipment validation, data analysis, and innovation ...

... available data to support project scope development, and preparation of outage reports. Develops ... Employs limited knowledge of engineering theory, mathematics, and the physical sciences. Performs ...

Chemical Engineering Analyst Location: Sardis, MS Base Salary: $50,000-$70,000. Company Overview ... This role will drive process optimization, equipment validation, data analysis, and innovation ...

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Chemical Engineering Data Science information

What is a Chemical Engineering Data Science job?

A Chemical Engineering Data Science job combines chemical engineering principles with data science techniques to analyze and optimize chemical processes. Professionals in this field work with large datasets, machine learning models, and statistical methods to improve efficiency, reduce costs, and enhance safety in industries such as pharmaceuticals, energy, and materials. They may develop predictive models, conduct simulations, and implement AI-driven solutions to solve complex engineering challenges. This role requires expertise in programming, data analytics, and chemical process understanding to drive data-informed decision-making.

What are the key skills and qualifications needed to thrive in the Chemical Engineering Data Science position, and why are they important?

To succeed in Chemical Engineering Data Science, you need a strong background in chemical engineering principles, statistical analysis, and programming (usually with Python, R, or MATLAB), often supported by a degree in chemical engineering or data science. Familiarity with machine learning algorithms, process simulation software (like Aspen Plus or HYSYS), and data visualization tools is highly valuable, and certifications in data analytics or Six Sigma can be advantageous. Strong analytical thinking, problem-solving, and effective communication skills help you interpret data-driven insights and collaborate with multidisciplinary teams. These competencies are essential for solving complex engineering problems, optimizing processes, and delivering actionable results in data-intensive chemical industry settings.

What are the typical daily responsibilities of someone working in Chemical Engineering Data Science?

Professionals in Chemical Engineering Data Science typically spend their days collecting and cleaning process data, developing data models to predict or optimize chemical operations, and interpreting analytical results to improve production efficiency or product quality. They often use specialized software to simulate chemical processes and collaborate closely with engineers, plant operators, and IT professionals to implement data-driven solutions. Regular tasks may also include creating reports and data visualizations, troubleshooting data quality issues, and supporting digital transformation projects within manufacturing environments. The role is dynamic and requires continual learning as new tools and methodologies emerge, making strong communication skills and adaptability especially important.

What cities are hiring for Chemical Engineering Data Science jobs? Cities with the most 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 Chemical Engineering Data Science jobs? States with the most job openings for Chemical Engineering Data Science jobs include:
Infographic showing various Chemical Engineering Data Science job openings in the United States as of July 2026, with employment types broken down into 72% Full Time, 6% Part Time, and 22% Contract. Highlights an 89% In-person, and 11% Remote job distribution.
Sr. Staff Data Scientist

Sr. Staff Data Scientist

Bloom Energy

San Jose, CA • On-site

Full-time

Posted 6 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 421 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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