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Data Science Renewable Energy Jobs in Oregon (NOW HIRING)

What the Tech, Bend

Energy Analyst

Portland, OR · On-site

$80 - $100/hr

In this cross‑functional, high‑impact role, you will get a crash course in renewable energy ... Bachelor's degree required (energy systems, engineering, economics, data science, statistics ...

New

Cushman & Wakefield

Energy Engineer

Portland, OR · On-site

This position requires a self-motivated individual with strong skills in data analysis ... Experience developing decarbonization strategies-including energy efficiency, renewable energy ...

Cushman & Wakefield

Energy Engineer

Portland, OR · On-site

This position requires a self-motivated individual with strong skills in data analysis ... Experience developing decarbonization strategies-including energy efficiency, renewable energy ...

Cushman & Wakefield

Energy Engineer

Portland, OR · On-site

This position requires a self-motivated individual with strong skills in data analysis ... Experience developing decarbonization strategies-including energy efficiency, renewable energy ...

Cushman & Wakefield

Energy Engineer

Portland, OR

This position requires a self-motivated individual with strong skills in data analysis ... Experience developing decarbonization strategies-including energy efficiency, renewable energy ...

Varsity Tutors

AP Environmental Science Tutor

OR · Remote

$18 - $40/hr

Ability to explain biogeochemical cycles, trophic dynamics, renewable energy systems, and ... data, and evaluating sustainability proposals. Emphasizes systems thinking and connects ...

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All JobsData Science Renewable Energy JobsData Science Renewable Energy Jobs in Oregon

Data Science Renewable Energy information

See Oregon salary details

$22.4K

$92.3K

$192.5K

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

As of Aug 20, 2026, the average yearly pay for data science renewable energy in Oregon is $92,277.00, according to ZipRecruiter salary data. Most workers in this role earn between $43,885.00 and $131,159.00 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 Oregon?

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

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

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

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

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

Data Science Renewable Energy jobs near you
Infographic showing various Data Science Renewable Energy job openings in Oregon as of August 2026, with employment types broken down into 80% Full Time, and 20% Temporary. Highlights an 60% In-person, 20% Hybrid, and 20% Remote job distribution, with an average salary of $92,277 per year, or $44.4 per hour.

Energy Analyst

What the Tech, Bend

Portland, OR • On-site

$80 - $100/hr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 2 days ago

New

Job description

Portland, Oregon (preferred), or Bend, Oregon (for the right candidate)

Customer Operations Manager

Elexity is disrupting the C&I energy storage and building energy management market. Our whole-building EMS platform is a new approach to controlling, managing, and optimizing energy in commercial buildings. We uniquely pair traditional energy storage with predictive load control technology to significantly reduce demand charges and time-based energy costs, maximize on-site solar, provide a more reliable backup solution, and enable customers to participate in grid services programs. Elexity is a critical enabler of the energy transition. We unlock energy value from C&I buildings with intelligent energy control, delivering on the promise of a dynamic, flexible, and renewable grid. We are a growth-stage, venture-funded company.

Why Work for Us?
  • You love getting things done
  • You want to leave customers feeling delighted
  • You want to build the operational backbone of an early stage disrupter, not inherit one
  • You want to design processes and tools, not just execute someone else’s
  • You want to make a significant contribution to the energy transition
What will you do

In support of business development and product development, the Senior Energy Analyst will:

  • Deliver economic analysis, including savings reports, to customers.
  • Analyze expected savings at prospective sites for customers and partners.
  • Defend results in presentations to the management team.
  • Research and model site economics, operating strategies, and enrollment procedures for demand response programs in multiple markets.
  • Specify improvements to our utility tariff analysis engine.
  • Specify improvements to our control algorithms.
  • Run site simulations of different hardware configurations, control strategies, load control programs, and tariff choices.

In this cross‑functional, high‑impact role, you will get a crash course in renewable energy, load flexibility, and the future of the grid. If you want to grow your career and help prepare our energy system for a 100% renewable grid, this position is for you.

Skills & Qualifications
  • Quantitative understanding of energy economics and energy systems
  • Bachelor’s degree required (energy systems, engineering, economics, data science, statistics, operations research, mathematics, or similar)
  • Minimum 5 years of experience in data analysis and data visualization in Python; you wake up wondering what new tricks you can make pandas dataframes and matplotlib do
  • SQL skills are a plus
  • Strong economics and time‑series analysis experience required. You will be modeling complex utility tariffs beginning in Week 1, so that should appeal to you.
  • Strong written, oral, and presentation communication skills
  • Must be comfortable in a customer‑facing role
  • Strong sense of ownership, urgency, and drive
  • Familiarity with modeling behind‑the‑meter energy projects is a plus
  • Familiarity with solar energy, energy storage, building controls, commercial electric rates, demand response, virtual power plants (VPPs), and utilities are all major pluses
Location, Compensation and Benefits
  • Portland, Oregon (preferred), Bend, Oregon (for the right candidate)
  • Stock compensation
  • Medical, dental, vision, 401k and competitive PTO

Elexity provides equal employment opportunity without regard to an applicant’s race, sex, pregnancy, sexual orientation, gender identity or expression, genetic information, national origin, age, physical or mental disability, medical condition, religion, marital status or veteran status. All employment offers are contingent upon background check and professional reference checks. We are not able to offer sponsorship of employment at this time.

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