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Energy Data Science Jobs (NOW HIRING)

This role sits at the intersection of data science, energy systems, and critical infrastructure resilience, helping transform complex, multi-source data into actionable insights for resilience ...

This role sits at the intersection of data science, energy systems, and critical infrastructure resilience, helping transform complex, multi-source data into actionable insights for resilience ...

This role sits at the intersection of data science, energy systems, and critical infrastructure resilience, helping transform complex, multi-source data into actionable insights for resilience ...

Data Science Engineer

Livermore, CA · On-site

$134.30K - $161.30K/yr

... energy security, and multi-domain defense empowering teams to take on the toughest challenges of ... Wehave multiple openings for a Data Science Engineer with a background in applied machine learning ...

Data Science Engineer

Livermore, CA · On-site

$134.30K - $161.30K/yr

... energy security, and multi-domain defense empowering teams to take on the toughest challenges of ... We have multiple openings for a Data Science Engineer with a background in applied machine learning ...

Data Science Engineer

Livermore, CA

$134.30K - $161.30K/yr

... energy security, and multi-domain defense empowering teams to take on the toughest challenges of ... We have multiple openings for a Data Science Engineer with a background in applied machine learning ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

The Director, Data Science will lead efforts across personalization, recommendation systems, and ... That's why we hire associates with the intellectual curiosity, energy and drive to want to make a ...

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Energy Data Science information

What is the difference between Energy Data Science vs Energy Analyst?

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

More about Energy Data Science jobs
What cities are hiring for Energy Data Science jobs? Cities with the most Energy Data Science job openings:
What states have the most Energy Data Science jobs? States with the most job openings for Energy Data Science jobs include:
Infographic showing various Energy Data Science job openings in the United States as of May 2026, with employment types broken down into 12% Internship, 76% Full Time, and 12% Part Time. Highlights an 88% In-person, 6% Hybrid, and 6% Remote job distribution.

Data Scientist -- Energy & Analytics

Jobvous Staffing Solutions, LLC

Houston, TX

Full-time

Posted 2 days ago


Job description

Data Scientist — Energy & Analytics

Houston energy companies are building enterprise AI. They need Data Scientists who understand both the model and the business.

About the opportunity:

Jobvous Staffing Solutions is placing Data Scientists across Houston's leading energy companies — from upstream operations and commercial analytics to sustainability and energy transition initiatives.

These are high-impact roles at companies where your models will influence decisions that move billions of dollars and millions of barrels of oil. If you're ready to work on problems that matter, these opportunities are for you.

Responsibilities:

Build predictive models for production optimization, pricing, and operational analytics

Work with large-scale time-series and sensor data from energy operations

Develop GenAI and LLM-powered tools for document automation and decision support

Collaborate with engineering and operations teams to deploy models into production

Present findings and business impact to senior technical and business stakeholders

What we are looking for:

Master's or PhD in Data Science, Statistics, Engineering, or related field preferred

3+ years experience in data science with production deployment

Strong Python, PyTorch or TensorFlow, and SQL proficiency

Databricks, Azure ML, or AWS SageMaker experience valued

GenAI / LLM experience (LangChain, RAG, Azure OpenAI) is a strong differentiator

Energy domain experience (upstream, midstream, trading, sustainability) is a plus