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Data Scientist Energy Jobs (NOW HIRING)

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more ... We are seeking a Sr. Staff Process Data Scientist to join our Data Science team, where you will ...

Position : Data Scientist Location : Onsite - 5 Days / Week - Juno Beach Florida JD:- Principal ... This role supports critical decision-making for Energy Management (EMT), Power Marketing (PMI), and ...

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more ... We are seeking a Sr. Staff Process Data Scientist to join our Data Science team, where you will ...

Role Overview We are seeking a Data Scientist to help build the next generation of industrial ... Experience in industrial systems, IIoT, energy, power generation, aerospace, or reliability ...

New

The Operations Data Scientist transforms complex operational, production, and reliability data into ... Diamondback Energy is not currently sponsoring employment visas for this position. Diamondback is ...

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving ... Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ...

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... Energy/utility industry experience. Experience with Power BI (Microsoft Business Intelligence)

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving ... Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ...

Data Scientist

$120K - $150K/yr

Data Scientist Position Description We are hiring a Data Scientist to lead forecasting and ... Experience building optimization models and implementing them in energy / capacity markets

New

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission ... Energy/utility industry experience. Experience with Power BI (Microsoft Business Intelligence)

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving ... Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster ...

Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions The Data Scientist role is an exciting opportunity to join Corning's Data Science & Insight ...

New

They are seeking a Data Scientist to join the team full-time to work with other Data Science and ... sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible ...

They are seeking a Data Scientist to join the team full-time to work with other Data Science and ... sustainable energy resources like Solar, Wind, and Hydrogen power. This is an incredible ...

Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions The Data Scientist role is an exciting opportunity to join Corning's Data Science & Insight ...

New

Welcome to the intersection of energy and home services. At NRG, we're all about propelling the ... Senior Data Scientist - AI & Customer Operations Analytics Location: Houston, TX 4 days onsite ...

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Data Scientist Energy information

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$46K

$165K

$243.5K

How much do data scientist energy jobs pay per year?

As of Jul 16, 2026, the average yearly pay for data scientist energy in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is a Data Scientist Energy job?

A Data Scientist in the energy sector analyzes large datasets to optimize energy production, distribution, and efficiency. They apply machine learning, statistical modeling, and data analytics to predict demand, enhance sustainability, and reduce costs. Their work supports decision-making for utilities, renewable energy companies, and other stakeholders by providing data-driven insights.

What kinds of projects do Data Scientists in the energy sector typically work on?

Data Scientists in the energy sector often contribute to projects like forecasting energy demand, optimizing grid management, analyzing equipment performance, and supporting renewable energy integration. Their work typically involves handling large data sets from smart meters or energy sensors, developing predictive models, and collaborating with engineers, business analysts, and IT professionals. Many roles provide opportunities to work on sustainability initiatives and digital transformation efforts within the industry. These projects offer a chance to make a real impact by improving efficiency, reducing costs, and supporting the transition to cleaner energy sources.

What are the key skills and qualifications needed to thrive in the Data Scientist Energy position, and why are they important?

To thrive as a Data Scientist Energy, you need strong analytical skills, advanced knowledge of statistics and machine learning, and a degree in a quantitative field such as engineering, computer science, or mathematics. Experience with programming languages like Python or R, proficiency with data visualization platforms, and familiarity with energy industry databases (such as SCADA or energy market data) are essential, while certifications in data science or energy analytics are an advantage. Excellent problem-solving abilities, communication skills, and teamwork make someone stand out in this position. These competencies enable Data Scientists to interpret complex energy data, collaborate across multidisciplinary teams, and provide actionable insights that drive efficiency and innovation in the sector.

More about Data Scientist Energy jobs
What cities are hiring for Data Scientist Energy jobs? Cities with the most Data Scientist Energy job openings:
What are the most commonly searched types of Data Scientist Energy jobs? The most popular types of Data Scientist Energy jobs are:
What states have the most Data Scientist Energy jobs? States with the most job openings for Data Scientist Energy jobs include:
Infographic showing various Data Scientist Energy job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.
Sr. Staff Data Scientist

Sr. Staff Data Scientist

Bloom Energy

San Jose, CA • On-site

Full-time

Re-posted 15 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 430 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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