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Data Science Renewable Energy Jobs in Wisconsin (NOW HIRING)

DNV Germany Holding GmbH

WI · On-site

$70 - $90/hr

We use data-driven digital solutions to optimize the performance of renewable energy installations around the world. Our work contributes to a more diverse, more sustainable global energy mix. Are ...

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All JobsData Science Renewable Energy JobsData Science Renewable Energy Jobs in Wisconsin

Data Science Renewable Energy information

See Wisconsin salary details

$20.5K

$84.5K

$176.2K

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

As of Aug 19, 2026, the average yearly pay for data science renewable energy in Wisconsin is $84,480.00, according to ZipRecruiter salary data. Most workers in this role earn between $40,177.00 and $120,077.00 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 are the most commonly searched types of Data Science Renewable Energy jobs in Wisconsin?

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

What are popular job titles related to Data Science Renewable Energy jobs in Wisconsin?

For Data Science Renewable Energy jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Data Science Renewable Energy jobs in Wisconsin look for?

The top searched job categories for Data Science Renewable Energy jobs in Wisconsin are:

Data Science Renewable Energy jobs near you
Infographic showing various Data Science Renewable Energy job openings in Wisconsin as of August 2026, with employment types broken down into 4% Internship, 85% Full Time, and 11% Part Time. Highlights an 83% In-person, and 17% Remote job distribution, with an average salary of $84,480 per year, or $40.6 per hour.

Project Engineer - Renewable Energy

DNV Germany Holding GmbH

WI • On-site

$70 - $90/hr

Other

Posted yesterday

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Job description

GreenPowerMonitor, a DNV company, is at the heart of the global energy transformation. We use data-driven digital solutions to optimize the performance of renewable energy installations around the world. Our work contributes to a more diverse, more sustainable global energy mix.

Are you ready to be part of a growing team and drive technical project execution of our On-Site Solutions for renewable energy? Would you like to work in a collaborative, global, and dynamic environment while supporting companies in accelerating their energy transition? If so, seize this opportunity to make a real impact.

Apply today and join us as Project Engineer for On-Site Solutions at GreenPowerMonitor. Together, we can create a greener tomorrow!

What to expect? As a Project Engineer, you will work in a project matrix organization to implement SCADA and PPC in renewable energy sites.

What you will do
  • Analyzing photovoltaic and wind projects to monitor all the variables needed.
  • Generating single line diagrams of the cabinets including the hardware for the SCADA solution to be deployed, given the project descriptions and Project Manager Indications.
  • Collaborating with colleagues to reach the schedules for deliveries, and providing assistance with general group activities.
  • Supporting the commissioning of SCADA systems, including travel for on-site plant visits. You can expect to spend up to 50% of your time at renewable energy sites.
  • Configuration of the software to get the best value of the data.
  • Technical report writing, critical reviewing, and professional presentation to clients.
  • You will join our On-site Solutions team of Project Engineers and Project Managers. Our commitment is to successfully deliver On-site Solutions (SCADA and PPC) projects, while ensuring adherence to scope, schedule, and budget constraints. This involves a comprehensive approach that not only prioritizes excellence but also emphasizes efficiency and performance to provide the optimum experience and highest quality to our customers. To achieve this, we actively create specific tools and automation processes, enabling us to deliver intelligently and uphold our position as industry leaders.
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