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Director Chemical Engineering Data Science Jobs in California

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

... 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 ...

Amgen, Inc.

Data Scientist

Thousand Oaks, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... or Chemical Engineering or a related technical field * 1-2 years of experience in the medical ... science to serve patients. Together, we compete in the fight against serious disease. Amgen is an ...

Amgen Inc

Data Scientist

Thousand Oaks, CA · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... or Chemical Engineering or a related technical field * 1-2 years of experience in the medical ... science to serve patients. Together, we compete in the fight against serious disease. Amgen is an ...

Adidev Technologies Inc

Data Science

San Francisco, CA · On-site

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Adidev Technologies Inc

Data Science

San Francisco, CA · Remote

As a Data Scientist/Data Science Specialist for Adidev Technologies Inc., you will be enhancing and ... Strong foundation in Python programming in a cloud environment. * Strong quantitative abilities ...

Figma

Director, Data Science

San Francisco, CA · On-site +1

As Director, you will lead a team of data scientists and managers, setting the vision for how data ... You'll work closely with Product, Engineering, Design, and Research leadership to embed data-driven ...

Valdera

Chemical Data Scientist

San Francisco, CA · Remote

... see the direct impact of their work. If you're looking for a fast-paced environment where your ... science, data engineering, or applied data role, ideally with exposure to messy, real-world or ...

Meta

Data Science Director (IC)

Menlo Park, CA

$253K/yr

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

Meta

Data Science Director (IC)

Sunnyvale, CA

$253K/yr

The Data Science Director will collaborate with Engineering and Product executives across Meta Ads and the Family of Apps Monetization teams. The candidate will have extensive experience in large ...

Valdera Inc.

Chemical Data Scientist

San Francisco, CA · On-site

$150 - $210/hr

... see the direct impact of their work. If you're looking for a fast-paced environment where your ... science, data engineering, or applied data role, ideally with exposure to messy, real-world or ...

Valdera

Chemical Data Scientist

San Francisco, CA · On-site +1

... see the direct impact of their work. If you're looking for a fast-paced environment where your ... science, data engineering, or applied data role, ideally with exposure to messy, real-world or ...

Farmers Insurance

Lead Data Scientist

Woodland Hills, CA · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

S. Position requires a Bachelor's degree, or foreign equivalent, in Computer Science, Data Science, Computer Information Systems, Engineering, Chemical Engineering, Data Engineering or a closely ...

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All JobsChemical Engineering Data Science JobsDirector Chemical Engineering Data Science JobsDirector Chemical Engineering Data Science Jobs in California

Director Chemical Engineering Data Science information

What does a director 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.

How does a director 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.

What are the key skills and qualifications needed to thrive as a director 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.

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 most commonly searched types of Chemical Engineering Data Science jobs in California?

The most popular types of Chemical Engineering Data Science jobs in California are:

What are popular job titles related to Director Chemical Engineering Data Science jobs in California?

For Director Chemical Engineering Data Science jobs in California, the most frequently searched job titles are:

What job categories do people searching Director Chemical Engineering Data Science jobs in California look for?

The top searched job categories for Director Chemical Engineering Data Science jobs in California are:

What cities in California are hiring for Director Chemical Engineering Data Science jobs?

Cities in California with the most Director Chemical Engineering Data Science job openings:

Director Chemical Engineering Data Science jobs near you
Infographic showing various Director Chemical Engineering Data Science job openings in California as of August 2026, with employment types broken down into 1% As Needed, 73% Full Time, 21% Part Time, 2% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution.

Sr. Staff Data Scientist

Bloom Energy

San Jose, CA • On-site

Full-time

Re-posted 19 days ago

Bloom Energy rating

8.8

Company rating: 8.8 out of 10

Based on 12 frontline employees who took The Breakroom Quiz

45th of 490 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.
#LI-BC1
Salary Ranges:
$151,700.00 - $218,300.00

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