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Weekday 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 · 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 ...

Sr Data Scientist

Des Moines, IA · 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 ...

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 · 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 ...

Data Scientist

Pleasanton, CA · Remote

$75 - $80/hr

Data Scientist Duration: 12+ Months Location: Remote Rate: $75-$80/hr on W2 Key points: Developing ... Energy Initiative, including location and resource adequacy considerations Analyzing customer ...

As a Data Scientist, you will apply data science, analytics, machine learning, and AI to improve ... Lutron Electronics is tech-based company that manufactures a variety of energy-saving light ...

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 ...

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Weekday Data Scientist Energy information

See salary details

$37.5K

$122.7K

$196.5K

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

As of Jul 15, 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

Data Scientist - Energy

Linde Group

The Woodlands, TX • On-site

Other

Posted 27 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-making 
  • Partner with energy managers, operations teams, and business stakeholders to gather requirements, prioritize opportunities, and translate business needs into practical digital solutions 
  • 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 analytics applications and dashboards integrating market, operational, and commercial data to deliver timely insights for regional teams 
  • 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 value plants