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Entry Level Data Science Renewable Energy Jobs (NOW HIRING)

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Energy Consultant

Cleveland, OH · On-site

$1.0K - $5.0K/yr

Advise on renewable energy integration for homes Preferred Qualifications * Entry-level experience in energy consulting * Knowledge of energy management principles * Strong client communication ...

New

Be Seen First

Energy Consultant

Cleveland, OH · On-site

$1.0K - $5.0K/yr

Advise on renewable energy integration for homes Preferred Qualifications * Entry-level experience in energy consulting * Knowledge of energy management principles * Strong client communication ...

New

$80 - $100/hr

Tech Support Engineer - Renewable Energy Job Category : Technical Service Group Requisition Number ... Ability to navigate and interpret data fromsolar monitoring platforms, drive configuration software ...

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Entry Level Data Science Renewable Energy information

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How much do entry level data science renewable energy jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for entry level data science renewable energy in the United States is $20.24, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

What is an entry level data scientist in renewable energy?

Entry level data science jobs in renewable energy involve analyzing and interpreting data to optimize the generation, distribution, and consumption of renewable energy sources like solar, wind, and hydro power. These roles typically include tasks such as cleaning and processing data, building predictive models, visualizing trends, and supporting decision-making with actionable insights. Professionals in this field often work with large datasets from sensors, weather data, and energy grids to help companies increase efficiency, reduce costs, and support sustainability goals.

What does an entry level data scientist do in renewable energy?

As an entry-level data scientist in the renewable energy sector, you’ll typically analyze large datasets from sources like solar panels, wind turbines, or energy grids to identify trends, optimize performance, and predict energy output. You may also support the development of machine learning models for forecasting demand, detecting equipment anomalies, or improving energy efficiency. Collaboration with engineers, project managers, and other data professionals is common, allowing you to learn cross-functional skills while contributing to impactful sustainability initiatives.

What skills and qualifications are needed to thrive as an entry level data scientist in renewable energy?

To succeed as an Entry Level Data Scientist in Renewable Energy, you need a strong background in statistics, data analysis, and programming (often with a degree in a quantitative field). Familiarity with tools like Python, R, SQL, machine learning libraries, and data visualization platforms is typically required. Strong problem-solving, communication skills, and a collaborative mindset help you interpret results and work effectively with cross-functional teams. These abilities enable you to derive actionable insights from complex data, driving innovation and efficiency in the renewable energy sector.

What is the difference between Entry Level Data Science Renewable Energy vs Entry Level Data Analysis Renewable Energy?

AspectEntry Level Data Science Renewable EnergyEntry Level Data Analysis Renewable Energy
Required CredentialsBachelor's in Data Science, Computer Science, or related field; some roles may prefer certifications in data analysis or programmingBachelor's in Statistics, Mathematics, or related field; certifications in data analysis tools are common
Work EnvironmentTech-focused teams, renewable energy companies, research labsEnergy companies, consulting firms, research organizations
Employer & Industry UsageUtilized for developing predictive models, optimizing energy production, and analyzing large datasetsUsed for interpreting data trends, reporting, and supporting decision-making in renewable projects

While both roles involve working with data in the renewable energy sector, Entry Level Data Science Renewable Energy focuses on building models and advanced analytics, whereas Entry Level Data Analysis Renewable Energy emphasizes interpreting data and generating reports. The credentials overlap but differ slightly in technical depth and tools used.

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Infographic showing various Entry Level Data Science Renewable Energy job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 83% Full Time, 12% Part Time, and 3% Contract. Highlights an 85% Physical, 3% Hybrid, and 12% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Energy Consultant

National Deregulation Association

Cleveland, OH • On-site

$1.0K - $5.0K/yr

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.


Job description

The Energy Consultant specializes in providing tailored energy solutions to residential clients. This role involves analyzing energy usage, recommending cost-effective strategies, and integrating renewable energy sources to optimize energy consumption and sustainability.

Responsibilities

  • Conduct energy analysis to assess consumption patterns
  • Develop and implement cost reduction strategies
  • Advise on renewable energy integration for homes

Preferred Qualifications

  • Entry-level experience in energy consulting
  • Knowledge of energy management principles
  • Strong client communication skills
  • Effective problem-solving abilities