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Data Science Renewable Energy Jobs (NOW HIRING)

Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or ... Knowledge of energy industry, utilities, renewable energy systems, or related domains * Experience ...

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Data Science Renewable Energy information

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

As of Jun 8, 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 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 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:
What job categories do people searching Data Science Renewable Energy jobs look for? The top searched job categories for Data Science Renewable Energy jobs are:
Data Scientist, Forecasting and Energy Storage System Optimization

Data Scientist, Forecasting and Energy Storage System Optimization

Stem, Inc.

OR

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 7 days ago


Job description

About Stem - Driven by human and artificial intelligence - Stem is unlocking energy intelligence.

Stem is a global leader reimagining technology to support the energy transition. Turning complexity into clarity, and potential into performance.
We help asset owners, operators and stakeholders benefit from the full value of their energy portfolio by enabling the intelligent development, deployment, and operation of clean energy assets. Our integrated software suite, PowerTrack, is the industry standard and best-in-class for asset monitoring, supported by professional and managed services, under one roof. Meant to tackle challenges as seamlessly as possible, Stem shows the information needed clearly and accurately and helps harness raw data to inform actionable insight. With global projects managed in 55 countries - from Germany to Japan and across North America - customers have relied on Stem for nearly 20 years to maximize the value of their clean energy projects.


Stem's culture embodies diversity & inclusion beyond the traditional facets of gender, ethnicity, age, disabilities, and sexual orientation to include experience, personality, communication, workstyles, and more. At our core, Stem is at the momentous intersection of clean energy and software technology where diverse ideas, experiences, and professional skills converge to make the inclusive culture we have today. Together, we are turning old school thoughts about software and energy into progressive, collaborative, and innovative solutions. By joining our team, you will be collaborating with data scientists, energy experts, skilled salespeople, thought-leading executives and more from a range of backgrounds. This intersection of ideas, beliefs, and skills is what makes us unique enough to lead the world's largest network of digitally connected energy storage systems.

What we are looking for/Role Overview:

Stem is seeking a highly skilled and motivated Data Scientist to join our team. This role is focused on leveraging advanced data analysis, machine learning, and statistical modeling expertise to contribute to the development and optimization of our AI-driven clean energy platform in PowerTrack, Stem's core suite of products. If you are a problem solver, critical thinker, and team player with a passion for using data to drive impact in the clean energy sector, we encourage you to apply.

Key Responsibilities:

  • Develop, implement, and deploy machine learning models and statistical analyses to optimize energy storage and solar asset performance across Stem's portfolio
  • Design and build data pipelines to extract, transform, and analyze large-scale datasets from energy systems
  • Collaborate with software engineering, product management, and energy experts to integrate data-driven solutions into PowerTrack platforms
  • Create data visualizations, dashboards, and reports to communicate insights and recommendations to stakeholders
  • Conduct exploratory data analysis to identify trends, patterns, and opportunities for improving system performance and business outcomes

Required Qualifications:

  • Minimum of 1-3 years in data science, analytics, machine learning, or related field
  • Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Engineering, or related field, or equivalent experience
  • Proficiencyin Python and data science libraries (pandas, numpy, scikit-learn, TensorFlow or PyTorch)
  • Familiarity with optimization libraries (e.g. CVXPY) and experience formulating or interpreting constrained optimization problems
  • Strong SQL skills and experience working with large datasets using SQL or SQL-like query languages.
  • Comfortable using modern AI coding assistants (Cursor, Claude Code, GitHub Copilot, etc.) to accelerate development
  • Experience writing well documented, well tested, and maintainable code
  • Version control with Git and experience using GitHub, GitLab, or Bitbucket
  • Experience prototyping analyses in Jupyter notebooks and building lightweight data applications to explore and communicate insights, using tools such as Matplotlib, Seaborn, Plotly, and frameworks like Streamlit or Dash.
  • Strong analytical and problem-solving skills with expertise in statistical methods and machine learning algorithms
  • Excellent communication and presentation abilities with capacity to translate complex technical findings for diverse audiences

Preferred Qualifications:

  • Experience with cloud platforms (AWS, Azure, GCP) and distributed computing frameworks
  • Familiarity with microservices architecture and containerization (Docker, REST APIs)
  • Basic understanding ofkubernetes, deployment pipelines, and monitoring tools (Grafana, Kibana)
  • Familiarity with time-series analysis, forecasting methods, and optimization techniques
  • Knowledge of energy industry, utilities, renewable energy systems, or related domains
  • Experience with CI/CD pipelines, and agile development methodologies
  • Master's degree in a quantitative field
  • Additional certifications in machine learning, data science, or related fields are a plus

Location: This position is based in our Broomfield, CO office or US Remote. Occasional travel for remote candidates for in person team meetings when required.

Please note: Applicants must be legally authorized for full-time employment in the United States without the need for current or future employer-sponsored work authorization. The Company cannot offer employment for this role to F-1 (student) visa holders who require employer sponsorship in the future or cannot work now on a full-time basis.

Salary Range$96,960.00 - $145,440.00

What We Offer:

At Stem, you will work in a growing, innovative, mission-driven company with talented colleagues that have a passion for building renewable energy systems.Stem offers competitive compensation as well as a comprehensive set of benefits to support the health and wellness of our employee including:

  • A competitive compensation package, including eligibility for a bonus or commission based on the role.

  • Full health benefits on the first day of employment (several medical plan options-HDHP and PPO, dental plans, FSA/HSA-with employer contribution, employer paid vision/LTD/STD/Life, variety of voluntary coverage)

  • 401k (pre- or post-tax) on first day of employment

  • 12 paid calendar holidays per year

  • Flexible time-off

Learn More

To learn more about Stem, visit our stem.com where you'll find information about our solutions, technology, partners, case studies, resources, latest news and more. Here are some relevant links:

  • Company Overview

  • Newsroom

  • Insights

  • LinkedIn

Stem, Inc. is an equal opportunity employer committed to diversity in the workplace and does not discriminate against any employee or applicant for employment because of race, color, sex, pregnancy, religion, national origin, ethnicity, citizenship, sexual orientation, gender identity, age, marital status, disability, genetic information, military status, protected veteran status or any other factor protected by applicable federal, state or local laws.