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Weekday Data Scientist Energy Jobs (NOW HIRING)

Data Scientist - Energy The Woodlands, TX, United States req29936 What you will enjoy doing* * Describe the tasks and responsibilities in a crisp and clear way * You will develop and maintain digital ...

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 ...

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 have an opening for an Energy Resilience Data Scientist . This role sits at the intersection of data science, energy systems, and critical infrastructure resilience, helping transform complex ...

Consumers Energy is Michigan's largest energy provider, providing natural gas and/or electricity to ... Communicate data science outputs effectively and support the development of models and solutions ...

Consumers Energy is Michigan's largest energy provider, providing natural gas and/or electricity to ... The Data Scientist will support the organization's data output processes and partner with the ...

Consumers Energy is Michigan's largest energy provider, providing natural gas and/or electricity to ... The Data Scientist will support the organization's data output processes and partner with the ...

Data Scientist

New York, NY ยท Remote

$70 - $100/hr

Position: Data Science Experts Type: Contract Compensation: $70-$100/hour Location: Remote ... Ability to commit to 40 hours per week during weekdays for the duration of the engagement. * Strong ...

By joining our team, you will be collaborating with data scientists, energy experts, skilled salespeople, thought-leading executives and more from a range of backgrounds. This intersection of ideas ...

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 ...

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

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 ...

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 ...

Founded at Stanford's Doerr School and backed by leading investors in Energy and AI, GridCARE is ... We are seeking a Data Scientist who thrives at the intersection of business and engineering ...

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 ...

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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Weekday Data Scientist Energy information

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$37.5K

$122.7K

$196.5K

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

As of Jun 22, 2026, the average yearly pay for weekday data scientist energy in the United States is $122,738.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,500.00 and $136,000.00 per year, depending on experience, location, and employer.

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

To thrive as a Weekday Data Scientist in the energy sector, you need a strong background in statistics, data analysis, and programming (often with Python or R), generally supported by a degree in data science, engineering, or a related field. Familiarity with machine learning frameworks, big data tools (such as Hadoop or Spark), and energy-specific data platforms is typically required. Excellent problem-solving abilities, communication skills, and business acumen help you translate complex data into actionable insights for stakeholders. These skills are crucial for optimizing energy operations, making data-driven decisions, and driving innovation in a rapidly evolving industry.

What does a Weekday Data Scientist in the energy sector do?

A Weekday Data Scientist in the energy sector analyzes energy data to help organizations make informed decisions about energy production, consumption, and efficiency. They typically work regular weekday hours, focusing on tasks such as building predictive models, optimizing energy usage, and identifying trends in large datasets. Their work supports utilities, renewable energy companies, and other stakeholders in reducing costs, improving sustainability, and meeting regulatory requirements.

What are some common challenges a Data Scientist faces when working in the energy sector during weekdays?

Data Scientists in the energy sector often work with large, complex datasets from sources like smart meters, sensors, and market data. One common challenge is ensuring data quality and consistency, as energy data can be incomplete or contain anomalies. Additionally, weekday roles frequently involve tight deadlines to deliver insights that support operational decisions and regulatory reporting. Collaboration with engineers and analysts is essential to understand technical constraints and align modeling efforts with business goals. Staying updated on evolving energy policies and integrating new technologies can also be demanding but presents opportunities for impactful, innovative work.
What cities are hiring for Weekday Data Scientist Energy jobs? Cities with the most Weekday 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 Weekday Data Scientist Energy jobs? States with the most job openings for Weekday Data Scientist Energy jobs include:

Data Scientist -- Energy & Analytics

Jobvous Staffing Solutions, LLC

Houston, TX โ€ข On-site

Full-time

Posted 25 days ago


Job description

Data Scientist โ€” 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 โ€” 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