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Director Chemical Engineering Data Science Jobs (NOW HIRING)

Sr. Staff Chemical Engineer

San Jose, CA · On-site

$151K - $218K/yr

This role sits at the intersection of process engineering, data science, and software, focusing on ... Apply first-principles chemical engineering to data-driven process modeling and optimization

Sr. Staff Chemical Engineer

San Jose, CA · On-site

$151K - $218K/yr

This role sits at the intersection of process engineering, data science, and software, focusing on ... Apply firstprinciples chemical engineering to data-driven process modeling and optimization

The position provides exposure to the full lifecycle of an intricate scientific process, from ... Collaborate with other team members to interpret data and develop products and processes aligned ...

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Showing results 1-20

Director Chemical Engineering Data Science information

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$73K

$194.7K

$254K

How much do director chemical engineering data science jobs pay per year?

As of Jun 8, 2026, the average yearly pay for director chemical engineering data science in the United States is $194,709.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,500.00 and $253,000.00 per year, depending on experience, location, and employer.

What does a Director of Chemical Engineering Data Science do?

A Director of Chemical Engineering Data Science leads teams that apply data science principles to chemical engineering challenges, such as optimizing processes, improving safety, and driving innovation. This role involves overseeing data-driven projects, collaborating with engineers and data scientists, and ensuring that advanced analytics and machine learning are effectively used in chemical engineering operations. The director also plays a strategic role in shaping data initiatives and aligning them with organizational goals.

What is the difference between Director Chemical Engineering Data Science vs Chemical Engineer?

AspectDirector Chemical Engineering Data ScienceChemical Engineer
Required CredentialsAdvanced degrees (Master's/PhD), leadership experience, data science certificationsBachelor's or Master's in Chemical Engineering, engineering licensure often preferred
Work EnvironmentStrategic leadership, cross-departmental collaboration, data-driven decision makingDesign, develop, and optimize chemical processes in manufacturing or R&D
Employer & Industry UsageTech companies, large manufacturing firms, R&D organizationsChemical plants, pharmaceuticals, energy, and manufacturing industries

The main difference is that the Director Chemical Engineering Data Science focuses on strategic leadership and data-driven insights in chemical engineering, often requiring advanced degrees and data science expertise. In contrast, a Chemical Engineer is primarily involved in designing and operating chemical processes, with a focus on technical engineering skills and practical application.

What are the key skills and qualifications needed to thrive as a Director of Chemical Engineering Data Science, and why are they important?

To thrive as a Director of Chemical Engineering Data Science, you need advanced expertise in chemical engineering principles, data science methodologies, and a graduate degree in a related field. Proficiency with statistical analysis software (e.g., Python, R), machine learning platforms, and familiarity with process simulation tools are typically required, along with relevant certifications in data science or engineering management. Strong leadership, strategic thinking, and effective communication skills help drive cross-functional teams and translate complex data into actionable business insights. These skills and qualities are crucial for leveraging data-driven solutions to optimize chemical processes, enhance innovation, and achieve organizational objectives.

How does a Director of Chemical Engineering Data Science typically collaborate with cross-functional teams to drive innovation?

A Director of Chemical Engineering Data Science frequently works alongside R&D scientists, process engineers, IT specialists, and business strategists to bridge the gap between data analytics and chemical engineering processes. This role involves leading data-driven projects, translating complex technical findings into actionable insights, and ensuring that data science initiatives align with organizational goals. Effective collaboration is essential, as the director often facilitates communication across departments, mentors interdisciplinary teams, and champions the adoption of new technologies to enhance innovation and operational efficiency.
More about Director Chemical Engineering Data Science jobs
What cities are hiring for Director Chemical Engineering Data Science jobs? Cities with the most Director 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 Director Chemical Engineering Data Science jobs? States with the most job openings for Director Chemical Engineering Data Science jobs include:
Sr. Staff Chemical Engineer

Sr. Staff Chemical Engineer

Bloom Energy

San Jose, CA • On-site

$151K - $218K/yr

Full-time

Posted 12 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 417 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 Chemical Engineer 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 Sceince and is based in San Jose, CA.
This is a fully on-site, in office role 5 days a week.
Key Responsibilities
  • Apply first-principles chemical engineering to data-driven process modeling and optimization
  • Develop Python-based tools, pipelines, and workflows to automate engineering analysis
  • Build and maintain digital twins, soft sensors, and advanced analytics models
  • Analyze large-scale manufacturing data to identify performance, yield, and reliability opportunities
  • Partner with data scientists, software engineers, and process experts to deploy solutions into production
  • Owns complex, ambiguous problems from model concept to deployment

Required Qualifications
  • PhD or MS in Chemical Engineering (or related field)
  • 6+ years of industry experience, including senior/staff-level technical impact
  • Proven ability to translate chemical engineering problems into data and code

Skills
  • Process modeling, scale-up, and root-cause analysis (Aspen)
  • Python (NumPy, Pandas, SciPy; visualization libraries)
  • Automation of engineering calculations and analysis workflows
  • Working with large datasets, time-series data, and process historians(OSIsoft PI, Aspen IP21))
  • ML or statistical modeling applied to physical systems

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