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Weekday Data Scientist Energy Jobs (NOW HIRING)

Beth Page tech

Data Scientist

Houston, TX · On-site

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 ...

NextEra Energy

Data Scientist

Juno Beach, FL

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 ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

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 ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

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 ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

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 ...

Consumers Energy

Data Scientist

Jackson, MI · On-site

Consumers Energy knows job number one is to keep the lights on for customers. We are committed to ... Communicate data science outputs effectively and support the development of models and solutions ...

New

Bloom Energy

Staff Data Scientist

Fremont, CA

$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 ...

Match Point Solutions

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 ...

Bloom Energy

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 ...

Neara

Data Scientist

New York, NY · On-site

$160K - $190K/yr

... energy future. Our team is a collection of brilliant minds who are fanatical about making a ... Data Scientist As a Data Scientist, you will analyze a rich array of real-world data to inform our ...

Sidram Technologies

Data Scientist

Juno Beach, FL · On-site

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 ...

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All JobsWeekday Data Scientist Energy Jobs

Weekday Data Scientist Energy information

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$122.7K

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

As of Aug 7, 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?

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 weekday data scientist faces when working in the energy sector?

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:
Weekday Data Scientist Energy jobs near you

Principal Data Scientist - Energy/Power Systems - 26205

Drilling Info

Austin, TX • On-site

Other

Medical, Dental, Vision, Life

Re-posted 5 days ago

Job description

Description
Principal Data Scientist - Power and Renewables
Why YOU want this position
 
At Enverus, we're committed to empowering the global quality of life by helping our customers make energy affordable and accessible to the world.
 
We are the most trusted energy-dedicated SaaS company, with a platform built to maximize value from generative AI, and our innovative solutions are reshaping the way energy is consumed and managed. By offering anytime, anywhere access to analytics and insights, we're helping our customers make better decisions that help provide communities around the world with clean, affordable energy.
The energy industry is changing fast. But we've continued to lead the way in energy technology, creating intelligent connections across the entire energy ecosystem, from renewables, power and utilities to oil and gas and financial institutions. Our solutions create more efficient production and distribution, capital allocation, renewable energy development, investment and sourcing, and help reduce costs by automating crucial business operations. Of course, this wouldn't be possible without our people, which is why we have built a team of individuals from a diverse range of backgrounds.
 
Are you ready to help power the global quality of life? Join Enverus, and be a part of creating a brighter, more sustainable tomorrow.
 
 

As the technical leader for market modeling, you will define and drive the analytical capabilities that power our Market Management System. 

You'll partner with Product Management and Engineering to translate customer needs into sophisticated optimization models, forecasting capabilities, and production software. 

Responsibilities include: 

  • Lead the design and evolution of large-scale fundamental power market models.  
  • Define the mathematical and analytical approaches behind new product capabilities.  
  • Develop optimization, forecasting, and simulation methodologies for nodal electricity markets.  
  • Collaborate closely with software engineers to ensure models are scalable, performant, and production-ready.  
  • Work directly with customers and product managers to understand market problems and translate them into commercial solutions.  
  • Guide technical direction across multiple product initiatives and influence long-term product strategy.  
  • Mentor other data scientists and market modelers while raising the technical bar across the organization.  
  • Stay current with evolving electricity markets, optimization techniques, and forecasting methodologies.  

What We're Looking For 

We're seeking someone with deep expertise in wholesale electricity markets who enjoys combining mathematical modeling, software development, and product innovation. 

Required 

  • Bachelor's degree in Engineering, Mathematics, Economics, Operations Research, Computer Science, or a related quantitative field.  
  • Extensive experience developing or applying models for nodal wholesale electricity markets.  
  • Strong understanding of market-clearing algorithms, security-constrained unit commitment (SCUC), economic dispatch (SCED), and transmission constraints.  
  • Experience with mixed-integer linear programming (MILP) and large-scale optimization.  
  • Strong Python and SQL skills.  
  • Ability to work across product, engineering, and commercial teams to translate complex market concepts into software products.  
  • Excellent communication skills and the ability to explain sophisticated technical concepts to both technical and non-technical audiences.  

Preferred 

  • Master's or PhD focused on power systems, operations research, optimization, or related fields.  
  • Experience developing or operating a Market Management System (MMS).  
  • Experience with AC/DC power flow modeling.  
  • Experience building commercial software products for ISO/RTO markets or power trading organizations.  
  • Experience mentoring technical teams or leading complex product initiatives.  

Why This Role Matters 

This role sits at the intersection of electricity markets, mathematical optimization, and software engineering. 

You'll help define the future of one of Enverus' flagship power market platforms while working alongside engineers, product managers, and industry experts to deliver software that directly influences decisions across the global energy market. 

Benefits 

  • Medical  
  • Dental  
  • Vision  
  • Life, AD&D, Disability, Critical Illness, and Accident Insurance  
  • Employee Assistance Program (EAP)  
  • Health Savings Account (HSA)  
  • Commuter Benefits  
  • Lifestyle & Wellbeing Program  
  • Pet Insurance 
 

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