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Permanent Data Scientist Energy Jobs (NOW HIRING)

You are expected to lead the creation of analytics, forecasting, optimization, and decision support tools to improve energy planning, scheduling, and cost performance * Build scalable data and ...

We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help ... Position Specific Description We are seeking a Data Scientist with strong expertise in Machine ...

We deliver tailored energy solutions that fuel economic growth, strengthen communities, and help ... Position Specific Description We are seeking a Data Scientist with strong expertise in Machine ...

Data Scientist Location: Houston, TX (Fulltime) Environment: Standard, 5-days onsite : Must-Have ... Ability to understand commodity trading/energy sector datasets and business needs * Experience ...

Data Scientist

San Francisco, CA ยท On-site

$146K - $172K/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 ...

Bring your energy to DTE. Together, we can achieve great things. Testing Required: Not Applicable Hybrid Role: This role is hybrid, with an established schedule of in-person work required at an ...

Bring your energy to DTE. Together, we can achieve great things. Testing Required: Not Applicable Hybrid Role: This role is hybrid, with an established schedule of in-person work required at an ...

Brillient is seeking an experienced Data Scientist to join our team supporting a federal contract ... Citizenship or a permanent resident and the ability to obtain and maintain a Government public ...

permanent Position: Data Scientist Company Overview: Florvets Structures is a leading construction company specializing in the design and construction of innovative and sustainable structures. We are ...

Sr Data Scientist

Des Moines, IA ยท On-site

$117K - $146K/yr

The sr data scientist is a member of the Data and Analytics Information Technology team, having a ... Provides Support to the Following Positions Enterprise Analytics (IT), Berkshire Hathaway Energy ...

Data Scientist

San Francisco, CA ยท On-site

$90.14 - $112.68/hr

... or permanent full-time employment Become a Key Player as a Data Scientist You will apply quantitative analysis and data modeling to surface actionable customer insights that inform product and ...

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more ... We are looking for a Staff Data Scientist, to join our team in one of today's most exciting ...

S. permanent resident, or have protected status in the U.S. under asylum or refugee status or have ... aviation and energy transition. As a trusted partner, we provide actionable solutions and ...

Staff Data Scientist

Fremont, CA ยท On-site

$112K - $161K/yr

At Bloom Energy, our vision for a world powered by clean, reliable, and affordable energy is more ... We are looking for a Staff Data Scientist, to join our team in one of today's most exciting ...

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Permanent Data Scientist Energy information

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$46K

$165K

$243.5K

How much do permanent data scientist energy jobs pay per year?

As of Jul 16, 2026, the average yearly pay for permanent 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 Permanent Data Scientist in the energy sector?

A Permanent Data Scientist in the energy sector is a full-time professional who uses data analysis, machine learning, and statistical modeling to solve problems related to energy production, distribution, and consumption. They work with large datasets from sources like smart meters, sensors, and market data to optimize energy usage, forecast demand, and improve operational efficiency. Their work helps energy companies make data-driven decisions to increase sustainability, reduce costs, and innovate in areas such as renewable energy and grid management.

What are the key skills and qualifications needed to thrive as a Permanent Data Scientist in the Energy sector, and why are they important?

To thrive as a Permanent Data Scientist in Energy, you need strong analytical skills, expertise in statistics and machine learning, and typically a degree in data science, engineering, or a related field. Proficiency with programming languages like Python or R, experience with big data tools (such as SQL, Hadoop, or Spark), and familiarity with energy industry data systems are essential. Outstanding problem-solving, communication, and teamwork skills help interpret complex data and collaborate with cross-functional teams. These competencies enable impactful data-driven decisions, leading to operational efficiencies and innovation in the evolving energy sector.

What is the difference between Permanent Data Scientist Energy vs Permanent Data Scientist Oil & Gas?

AspectPermanent Data Scientist EnergyPermanent Data Scientist Oil & Gas
CredentialsDegree in Data Science, Statistics, or related field; certifications like Certified Data ScientistSame as Energy, often with industry-specific certifications
Work EnvironmentRenewable energy companies, utilities, energy tech firmsOil & gas corporations, exploration, and production companies
Industry UsageFocus on sustainable energy solutions and grid optimizationFocus on exploration, extraction, and refining processes
Search & Comparison IntentHigh overlap in skills and certifications, different industry focusSimilar roles with industry-specific applications

Both roles require strong data science skills and industry-specific knowledge. The main difference lies in the industry focus: renewable energy versus oil & gas, influencing the projects and data applications involved.

What are the main challenges faced by a Permanent Data Scientist in the energy sector and how can candidates prepare for them?

As a Permanent Data Scientist in the energy sector, you'll often encounter challenges such as working with large, complex datasets from diverse sources like smart meters, sensors, and market data. The role requires staying current with evolving energy technologies and regulatory changes, which can impact data models and analytics. Additionally, you may need to communicate technical findings to non-technical stakeholders and collaborate closely with engineers, analysts, and policy experts. To prepare, candidates should focus on developing strong data wrangling and machine learning skills, industry knowledge, and effective communication abilities.
What cities are hiring for Permanent Data Scientist Energy jobs? Cities with the most Permanent 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 Permanent Data Scientist Energy jobs? States with the most job openings for Permanent Data Scientist Energy jobs include:
Data Scientist - Energy

Data Scientist - Energy

Linde Group

The Woodlands, TX โ€ข On-site

Other

Posted 29 days ago


Job description

  • Describe the tasks and responsibilities in a crisp and clear way
  • You will develop and maintain digital tools, models, and key performance indicators that enhance energy management, market visibility, and operational decision-makingย 
  • Partner with energy managers, operations teams, and business stakeholders to gather requirements, prioritize opportunities, and translate business needs into practical digital solutionsย 
  • You are expected to lead the creation of analytics, forecasting, optimization, and decision support tools to improve energy planning, scheduling, and cost performanceย 
  • Build scalable data and analytics applications and dashboards integrating market, operational, and commercial data to deliver timely insights for regional teamsย 
  • You will support continuous improvement by evaluating new technologies, market data sources, and analytical approaches including artificial intelligence and machine learning to enhance energy management capabilities and business valueย plants