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Data Science Renewable Energy Jobs (NOW HIRING)

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

DTE Energy

Expert Data Scientist

Detroit, MI · On-site

And as Michigan's largest source of renewable energy, we're creating a cleaner, healthier ... Leads data science projects from end-to-end, collaborating with cross-functional stakeholders ...

NextEra Energy

Sr Applied Scientist I

Saint Paul, MN

$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 ...

NextEra Energy

Applied Scientist I

Saint Paul, MN

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 ...

Habitat Energy

Data Engineer

Austin, TX · On-site

$113K - $136K/yr

... energy trading, data science, software engineering and renewable energy management. We have a vacancy for a Data Engineer to join our Austin based team. Your responsibilities will include:

Habitat Energy

Data Engineer

Austin, TX · Hybrid

$113K - $136K/yr

... energy trading, data science, software engineering and renewable energy management. We have a vacancy for a Data Engineer to join our Austin based team. Your responsibilities will include:

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

As of Jul 7, 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.

Is 40 too late for data science?

Data science roles in renewable energy are accessible at any age, including at 40, as the field values diverse experience and skills such as programming, statistics, and domain knowledge. Many professionals transition into data science later in their careers, and continuous learning through online courses and certifications can enhance employability regardless of age.

What is the role of data science in renewable energy?

Data science in renewable energy involves analyzing large datasets to optimize energy production, forecast resource availability, and improve system efficiency. Data scientists use tools like machine learning and statistical modeling to support decision-making and enhance the integration of renewable sources such as wind and solar into energy grids.

What is the highest paying job in renewable energy?

In renewable energy, senior roles such as Renewable Energy Director or Chief Sustainability Officer tend to be the highest paying, often earning six-figure salaries. These positions require extensive experience, leadership skills, and knowledge of project management, policy, and technical aspects of renewable energy systems.

What are the key skills and qualifications needed to thrive in the Data Science Renewable Energy position, 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 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 is the 80 20 rule in data science?

In data science, the 80/20 rule, also known as Pareto principle, suggests that roughly 80% of results come from 20% of the efforts or data. Data scientists often use this concept to focus on the most impactful features or data subsets to improve model performance efficiently.

What is a Data Science Renewable Energy job?

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.

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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:
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Data Science Renewable Energy jobs near you
Infographic showing various Data Science Renewable Energy job openings in the United States as of July 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $92,517 per year, or $44.5 per hour.

Associate or Manager, Data Science

DESRI Renewables LLC

Greenwood Village, CO • On-site

$150K - $175K/yr

Full-time

Medical, Retirement, PTO

Posted 9 days ago

Job description

About DESRI
DESRI (formerly D. E. Shaw Renewable Investments) is a market-leading owner and operator of renewable energy projects throughout the United States. We have acquired or developed approximately 13 gigawatts of contracted capacity across a portfolio of over 85 renewable energy projects in 24 states.
At DESRI, our culture is grounded in rigorous analytics and thoughtful risk-taking, with a strong emphasis on creativity, intellectual curiosity, and continuous improvement. We operate with lean teams that prioritize efficiency and minimize unnecessary bureaucracy, enabling individuals to take ownership and move quickly. We value open, constructive dialogue and believe it leads to better outcomes. Above all, we are driven to go the extra mile and support one another, fostering a collaborative environment built on accountability, integrity, and care.
About the role
DESRI is seeking a talented and highly motivated individual to join its team as an Associate or Manager, Data Science (title commensurate with experience). This individual will play a key role in the company's enterprise data science strategy and help drive data-informed decision-making across the organization.
This individual will partner closely with teams across the organization to build scalable analytics capabilities and deploy advanced modeling solutions that optimize DESRI's growing renewable energy portfolio. This leader will oversee data science initiatives spanning forecasting, operational analytics, predictive maintenance, portfolio optimization, market intelligence, and business performance reporting.
The ideal candidate combines strong technical expertise with strategic leadership skills and is excited about applying advanced analytics and machine learning to complex challenges in the renewable energy industry.
What you'll do
  • Lead DESRI's enterprise data science strategy and roadmap across operational and corporate functions
  • Partner cross-functionally to identify and prioritize high-impact analytics initiatives
  • Develop predictive and prescriptive models to improve asset performance, operational efficiency, forecasting accuracy, and portfolio optimization
  • Translate complex technical findings into actionable business insights for senior leadership and non-technical stakeholders
  • Evaluate emerging AI, machine learning, and advanced analytics technologies relevant to the renewable energy industry
  • Support the continued evolution of DESRI's data infrastructure, reporting environment, and business intelligence capabilities
  • Foster a culture of innovation, continuous improvement, and data-driven decision-making across the organization

Qualifications
  • Undergraduate or graduate degree in data science, statistics, computer science, engineering, mathematics, economics, or a related quantitative field required.
  • 3+ years of experience in data science, advanced analytics, machine learning, or quantitative modeling, including leadership experience managing teams and enterprise initiatives.
  • Strong expertise in statistical modeling, machine learning, predictive analytics, optimization techniques, and data visualization.
  • Advanced proficiency with Python, SQL, and modern analytics and machine learning frameworks.
  • Experience working with cloud-based data platforms and enterprise analytics environments.
  • Strong understanding of data engineering principles, ETL workflows, and large-scale data environments.
  • Demonstrated ability to lead cross-functional initiatives and influence senior stakeholders.
  • Experience in renewable energy, utilities, energy markets, infrastructure, or industrial operations is strongly preferred.
  • Familiarity with forecasting models, SCADA data, IoT systems, energy market analytics, or grid operations is preferred.
  • Excellent written and verbal communication skills, strong analytical acumen, and exceptional problem-solving capabilities.
  • Intellectually curious individuals with an entrepreneurial mindset, strong attention to detail, and a collaborative approach will excel in this role.
  • At DESRI, we consider a wide range of factors to determine your compensation. We rely on market indicators and consider your specific job family, background, location, skills, and experience. The expected annual base salary for this position is $150,000 to $175,000 (depending on title and experience).
  • Our compensation and benefits package includes variable compensation in the form of a year-end bonus, guaranteed in the first year of hire, and benefits including medical and prescription drug coverage, 401(k) contribution matching, paid time off, wellness reimbursement, family building benefits, and a charitable gift match program.

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