ZipRecruiter

Log In

2

Entry Level Data Science Renewable Energy Jobs (NOW HIRING)

AIToolboard

$60 - $80/hr

... and energy in mentoring and leading staff.The Entry-Level Data Scientist will support TAG+ by ... science. #J-18808-Ljbffr

Dhalite Inc.

Entry-Level Data Analyst

Dallas, TX · On-site

Job Title: Entry-Level Data Analyst Summary We are looking for a motivated Entry-Level Data Analyst ... Qualifications Bachelor s degree in Data Science, Computer Science, Economics, 0 2 years of ...

NextEra Energy

Applied Scientist I

Saint Paul, MN · On-site

Working at the intersection of renewable energy physics and data science, you'll develop sophisticated analytical models that design, forecast, optimize, and enhance our wind, solar, storage, and ...

Intertek CEA

$60 - $80/hr

Engineer-Renewable Energy & Energy Storage - Cortland, New York Intertek, a leading provider of ... Compile data and product description and type final report using established report shell. Submit ...

next page

Showing results 1-20

All Jobsrenewable energy JobsEntry Level Data Science Renewable Energy Jobs

Entry Level Data Science Renewable Energy information

See salary details

$11

$20

$31

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.

More about Entry Level Data Science Renewable Energy jobs

What cities are hiring for Entry Level Data Science Renewable Energy jobs?

Cities with the most Entry Level Data Science Renewable Energy job openings:

What are the most commonly searched types of Data Science Renewable Energy jobs?

The most popular types of Data Science Renewable Energy jobs are:

What states have the most Entry Level Data Science Renewable Energy jobs?

States with the most job openings for Entry Level Data Science Renewable Energy jobs include:

What job categories do people searching Entry Level Data Science Renewable Energy jobs look for?

The top searched job categories for Entry Level Data Science Renewable Energy jobs are:

Entry Level Data Science Renewable Energy jobs near you
Infographic showing various Entry Level Data Science Renewable Energy job openings in the United States as of August 2026, with employment types broken down into 50% Full Time, and 50% Part Time. Highlights an 50% In-person, and 50% Remote job distribution, with an average salary of $42,098 per year, or $20.2 per hour.

Entry-Level Data Scientist - AI Chatbot Development

AIToolboard

Washington, DC • On-site

$60 - $80/hr

Other

Posted 7 days ago

Job description

Jobs / Entry-Level Data Scientist – AI Chatbot Development

Entry-Level Data Scientist – AI Chatbot Development

Full-time

About the Role

The Asia Group (TAG) is now accepting applications for a Entry-Level Data Scientist – AI Chatbot Development to join our Team. This role will be based in Washington, DC.The Asia Group is a dynamic strategic advisory firm that positions clients, ranging from Fortune 100 multinationals to innovative startups, for success in established and emerging markets across the Indo-Pacific region. Our team includes a diverse mix of partners and staff possessing decades of government, private sector, academia, and military experience. Our corporate philosophy emphasizes teamwork, collegiality, creativity, and entrepreneurialism. Our operational culture is fast paced and demanding yet strives to be flexible and fun. Beyond the pursuit of professional success, our leadership actively embraces the challenges and opportunities associated with growing a highly successful firm, including by investing time and energy in mentoring and leading staff.The Entry-Level Data Scientist will support TAG+ by analyzing datasets, developing simple predictive models, and contributing to the overall data strategy. This role is an excellent opportunity for a recent graduate or someone changing careers who is looking to gain hands-on experience in a fast-paced environment. The successful candidate will have a strong foundation in statistical analysis and natural language processing (NLP), along with a desire to learn and grow within the rapidly evolving field of AI and data science.

#J-18808-Ljbffr

Apply