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Contractual 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 ...

Addison Group

Chemical Engineering Analyst

Sardis, MS · On-site

$50K - $70K/yr

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 ...

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 ...

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 ...

Addison Group

Chemical Engineering Analyst

Sardis, MS · On-site

$50K - $70K/yr

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 ...

Talen Energy

Senior Engineer - Chemical

Colstrip, MT · On-site

... 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 ...

Addison Group

Chemical Engineering Analyst

Sardis, MS · On-site

$50K - $70K/yr

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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Contractual Chemical Engineering Data Science information

Can you make 300k as a chemical engineer?

Contractual chemical engineering data science roles can potentially reach a $300,000 salary level, especially with extensive experience, advanced skills in data analysis and machine learning, and work in high-paying industries like oil and gas or pharmaceuticals. However, such salaries are typically reserved for senior or specialized positions and may require advanced degrees and certifications. Entry-level or standard roles usually offer lower compensation.

Is AI replacing chemical engineers?

AI is transforming chemical engineering by automating data analysis, process optimization, and predictive modeling, but it is not replacing chemical engineers. Instead, AI tools enhance their ability to solve complex problems, requiring engineers to develop skills in data science and machine learning. Human expertise remains essential for designing, overseeing, and ensuring safety in chemical processes.

What is the difference between Contractual Chemical Engineering Data Science vs Contractual Chemical Engineering?

AspectContractual Chemical Engineering Data ScienceContractual Chemical Engineering
CredentialsEngineering degree, data science certificationsEngineering degree, chemical engineering certifications
Work EnvironmentData analysis, modeling, software toolsProcess design, plant operations, safety protocols
Industry UsageData-driven decision making in chemical processesProcess optimization, manufacturing, plant management

Contractual Chemical Engineering Data Science focuses on applying data analytics and modeling to chemical engineering problems, often involving software and data tools. In contrast, Contractual Chemical Engineering emphasizes process design, plant operations, and safety. Both roles require engineering credentials but differ in daily tasks and industry focus.

Can a chemical engineer be a data scientist?

Yes, a chemical engineer can become a data scientist by developing skills in programming, statistics, and machine learning, often using tools like Python or R. Their strong background in data analysis, problem-solving, and domain knowledge can be valuable in data science roles across various industries.

Is 40 too late for data science?

Contractual chemical engineering data science roles often value relevant skills and experience over age. Many professionals successfully transition into data science later in their careers by acquiring programming, statistical, and domain-specific knowledge through courses or certifications. Age should not be a barrier if you demonstrate proficiency and a strong understanding of data analysis tools like Python or R.
What cities are hiring for Contractual Chemical Engineering Data Science jobs? Cities with the most Contractual 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 Contractual Chemical Engineering Data Science jobs? States with the most job openings for Contractual Chemical Engineering Data Science jobs include:
Contractual Chemical Engineering Data Science jobs near you
Sr. Staff Data Scientist

Sr. Staff Data Scientist

Bloom Energy

San Jose, CA • On-site

Full-time

Re-posted 7 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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