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Data Science Renewable Energy Jobs (NOW HIRING)

Sr Applied Scientist I

Saint Paul, MN · On-site

$92K - $126K/yr

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 ...

Sr Applied Scientist I

Saint Paul, MN · On-site

$92K - $126K/yr

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 ...

Engineer - Renewable Energy & Energy Storage

Cortland, NY · On-site

$70K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Engineer - Renewable Energy & Energy Storage

Cortland, NY · On-site

$70K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Engineer - Renewable Energy & Energy Storage

Cortland, NY · On-site

$70K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

Applied Scientist I

Saint Paul, MN · On-site

$96K - $144K/yr

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 ...

Engineer - Renewable Energy & Energy Storage

Cortland, NY · On-site

$70K - $75K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

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 ...

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 ...

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ... Build and improve models for renewable generation, storage dispatch, and energy price prediction ...

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ... Build and improve models for renewable generation, storage dispatch, and energy price prediction ...

Data Scientist

San Francisco, CA · On-site

$120K - $155K/yr

The Role Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position ... Build and improve models for renewable generation, storage dispatch, and energy price prediction ...

Sr Applied Scientist I

Saint Paul, MN · On-site

$118K - $177K/yr

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 ...

Sr Applied Scientist I

Saint Paul, MN · On-site

$118K - $177K/yr

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 ...

Showing results 21-40

Data Science Renewable Energy information

See salary details

$22.5K

$92.5K

$193K

How much do data science renewable energy jobs pay per year?

As of Aug 18, 2026, the average yearly pay for data science renewable energy in the United States is $92,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,000.00 and $131,500.00 per year, depending on experience, location, and employer.

What is a data science renewable energy?

A Data Science Renewable Energy job involves using data analytics, machine learning, and statistical techniques to optimize renewable energy production, grid management, and resource forecasting. Professionals in this field analyze large datasets from solar panels, wind turbines, and energy grids to improve efficiency, predict energy output, and reduce costs. They work with energy companies, utilities, and research institutions to develop models that enhance decision-making and sustainability. This role often requires expertise in programming, data visualization, and energy systems.

What types of projects do data science renewable energy professionals typically work on?

Data Science Renewable Energy professionals are usually involved in projects like optimizing energy production, forecasting demand and supply using weather and market data, and improving grid efficiency with predictive analytics. They often analyze large datasets from solar, wind, or other renewable sources to identify trends, inform decision-making, or reduce costs. Collaboration with engineers, project managers, and policy experts is common to design practical solutions for real-world energy challenges. This diverse range of projects offers opportunities for both technical innovation and direct impact on sustainability goals.

What are the key skills and qualifications needed to thrive in data science renewable energy, and why are they important?

To excel in a Data Science Renewable Energy role, you need a strong background in statistics, machine learning, and renewable energy systems, often backed by a relevant degree in data science, engineering, or a related field. Proficiency with data analytics tools such as Python, R, SQL, and platforms like TensorFlow, as well as experience with energy industry software, are highly valued, and certifications in data analytics or sustainability can be advantageous. Outstanding problem-solving skills, effective communication, and the ability to work collaboratively across multidisciplinary teams are essential soft skills. These abilities ensure accurate data-driven insights that optimize renewable energy operations, support sustainability goals, and drive innovation in a rapidly evolving sector.

What cities are hiring for Data Science Renewable Energy jobs?

Cities with the most 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 Data Science Renewable Energy jobs?

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

Infographic showing various Data Science Renewable Energy job openings in the United States as of August 2026, with employment types broken down into 5% Internship, 84% Full Time, and 11% Part Time. Highlights an 79% In-person, and 21% Remote job distribution, with an average salary of $92,517 per year, or $44.5 per hour.

Sr Applied Scientist I

NextEra Energy

Saint Paul, MN • On-site

$92K - $126K/yr

Full-time

Re-posted 9 days ago


NextEra Energy rating

8.3

Company rating: 8.3 out of 10

Based on 54 frontline employees who took The Breakroom Quiz

23rd of 53 rated energy and utility


Job description

Requisition ID:  96511 

NextEra Analytics offers energy consulting services using industry-leading scientific analysis for planning, siting, forecasting and optimizing all forms of energy projects. Our optimization and analytics platforms integrate open-source technologies to leverage massive, diverse sets of utility operating data. This enables rapid development of operational solutions. Applying expertise in advanced mathematics, data and physical sciences, we solve some of the hardest problems facing the energy industry.
 

Position Specific Description

NextEra Analytics is seeking a Senior Applied Scientist I to join our innovative Applied Science team, where we tackle the renewable energy industry's most challenging and novel problems by seamlessly blending physical science expertise with cutting-edge advanced analytics and AI to develop breakthrough solutions. As part of NextEra Energy-the world's largest renewable energy fleet operator-you'll drive value-add research and development that directly supports business objectives through timely, accurate results. 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 transmission operations. This role combines deep scientific understanding with statistical modeling, AI, and software engineering to solve complex, interdisciplinary challenges that have no industry precedent, contributing to innovative solutions that advance NextEra's competitive advantage while helping shape the future of clean energy. This position is fully onsite in St. Paul, Minnesota.


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