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Data Science Renewable Energy Jobs (NOW HIRING)

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 ...

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 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:

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:

... data science teams Minimum Qualifications: * Bachelor's degree in a relevant technical field ... Familiarity with renewable energy procurement structures including power purchase agreements ...

... data science teams Minimum Qualifications: * Bachelor's degree in a relevant technical field ... Familiarity with renewable energy procurement structures including power purchase agreements ...

... data science teams Minimum Qualifications: * Bachelor's degree in a relevant technical field ... Familiarity with renewable energy procurement structures including power purchase agreements ...

... data science teams Minimum Qualifications: * Bachelor's degree in a relevant technical field ... Familiarity with renewable energy procurement structures including power purchase agreements ...

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 ...

... data science teams Minimum Qualifications: * Bachelor's degree in a relevant technical field ... Familiarity with renewable energy procurement structures including power purchase agreements ...

... data science teams Minimum Qualifications: * Bachelor's degree in a relevant technical field ... Familiarity with renewable energy procurement structures including power purchase agreements ...

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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 Jul 13, 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.

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 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.
Data Scientist

Data Scientist

Verse

San Francisco, CA

$120K - $155K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 6 days ago


Job description

Location: San Francisco (Hybrid in SF highly preferred, US only)

What is Verse?

Energy markets are more volatile than ever. Rapid electrification and the rise of AI are driving unprecedented demand for power, while energy costs continue to rise across the globe. For the world's largest energy buyers, managing energy has never been more complex or more critical.


Verse helps these organizations manage complex power portfolios with confidence by unifying energy data, planning, forecasting, and operations in one tool. Our Energy Cost Intelligence platform, Aria, brings together energy, finance, and operations teams with real-time, finance-ready intelligence—replacing spreadsheets and consultants with precision across the entire energy lifecycle. Built by an expert team of energy buyers, data scientists, and engineers, Verse enables faster, smarter energy decisions that reduce risk and lower energy costs.

The Role

Verse is seeking a Quantitative Analyst to join our Data Science Team. In this position, you will own research projects end-to-end from problem formulation through model development to production integration. Your work feeds directly into Aria and into decisions our customers make about how to procure, dispatch, and hedge their energy assets. For example, you might spend a cycle backtesting financial performance of renewable energy projects, encoding bespoke energy contract terms into reusable and scaled models, or developing a probabilistic model for medium-term energy price scenarios.

Key Responsibilities

  • Model & Forecast: Build and improve models for renewable generation, storage dispatch, and energy price prediction using machine learning, statistical methods, and optimization techniques.
  • Own Research Projects: Scope problems with product, engineering and customer teams, design solutions, validate results against industry benchmarks, and communicate findings clearly to both technical and non-technical audiences.
  • Software Development & Productionization: Integrate research outputs into Verse's cloud-based production environment; write clean, well-documented Python code and leverage AI coding tools to accelerate development.
  • Develop Domain Expertise: Build foundational knowledge of electricity markets and renewable energy trends; develop an understanding of key drivers (e.g., load growth, market rule changes, and renewable deployment) and learn to incorporate relevant insights into renewable energy PPA modeling and analysis.

What We're Looking For (Minimum Qualifications)

  • Master's degree in a quantitative field (engineering, computer science, economics, mathematics, operations research, physics, or similar); or
  • Bachelor's degree and 2+ years of energy sector experience
  • Solid foundations in machine learning and statistical modeling
  • Proficiency in Python, including scientific computing libraries (NumPy, pandas, scikit-learn)
  • Familiarity with wholesale electricity market fundamentals and renewable energy technologies
  • Ability to communicate technical findings clearly to both technical and non-technical audiences

What Will Make You Standout (Preferred Qualifications)

  • Direct experience with US or European wholesale electricity markets or utility tariff structures
  • Experience with energy procurement, power purchase agreements, or risk management
  • Experience modeling the operational and/or economic behavior of solar, wind, or energy storage
  • Foundational knowledge of mathematical optimization
  • Experience shipping models to production in a commercial or research environment
  • Experience developing probabilistic forecasting models and quantifying uncertainty
  • A PhD in a relevant quantitative field.

What Makes Verse a Great Place to Work?

  • Lead with Empathy: We lift each other up with humility and kindness, always putting colleagues and customers first
  • Be Honest & Transparent: We prioritize effective communication to build trust with our team, customers, and stakeholders
  • Move with Balance & Precision: We believe speed and perseverance must be accompanied by thoughtfulness and reflection
  • Leave the World a Better Place: We are passionate about our mission, and we strive to create a sustainable world for future generations

Base Pay Range

$120,000 - $155,000

This is the estimated base salary range for this position, which does not include the value of benefits or a potential equity grant. A wide range of factors are considered in making compensation decisions, including but not limited to skill sets, market conditions, experience and training, licensure and certifications, and business and organizational needs.

Benefits and Employee Perks

  • Competitive compensation and equity grant at a high-growth start up
  • Comprehensive benefits package including medical, dental and vision insurance, and 401k
  • Flexible hours and unlimited PTO
  • Diverse and inclusive working environment

Verse is an equal opportunity employer. All applicants and employees are considered for hire, promotion, and compensation without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, marital or familial status.