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Energy Data Science Jobs in Portland, OR (NOW HIRING)

Data Scientist

Vancouver, WA · Hybrid

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ... Energy/utility industry experience. Experience with Power BI (Microsoft Business Intelligence)

Data Scientist

Vancouver, WA · On-site

$65 - $70/hr

  • Medical

  • Dental

  • Vision

  • Retirement

Certified Analytics Professional (CAP) Data Science Council of America (DASCA) Senior Data ... Energy/utility industry experience. Experience with Power BI (Microsoft Business Intelligence)

Energy Engineer

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This position requires a self-motivated individual with strong skills in data analysis ... Bachelor's degree in technical field (math, engineering, or science) or related work experience.

Energy Engineer

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This position requires a self-motivated individual with strong skills in data analysis ... Bachelor's degree in technical field (math, engineering, or science) or related work experience.

Energy Engineer

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This position requires a self-motivated individual with strong skills in data analysis ... Bachelor's degree in technical field (math, engineering, or science) or related work experience.

Energy Engineer

Portland, OR · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

This position requires a self-motivated individual with strong skills in data analysis ... Bachelor's degree in technical field (math, engineering, or science) or related work experience.

Ability to explain cell structure, inherited traits, energy transfer, and Newton laws at an age ... Guides students through designing controlled experiments, interpreting graphs and data tables ...

Senior AI Engineer - SFL Scientific

Portland, OR · On-site

$110K - $152K/yr

Leverage advanced technical skills in modern data architecture, data science engineering, data ... renewable energy. Key responsibilities: * Work with clients to design, develop, and deploy new ...

... energy, and earth systems. Ability to explain scientific principles, laboratory techniques, and data analysis methods while preparing students for AP science courses, Regents examinations, and ...

Our planet's future depends on the transition to renewable energy, and that transition can only ... We do this by combining our deep customer insights, world-class engineering, materials science ...

Our planet's future depends on the transition to renewable energy, and that transition can only ... We do this by combining our deep customer insights, world-class engineering, materials science ...

Sr. Machine Learning Engineer

Hillsboro, OR

$113K - $156K/yr

  • Medical

  • Retirement

  • PTO

... predictable, and energy use stays in check. We're building intelligence that scales without ... Machine Learning Engineer / Data Scientist** to join our team, working on agent harness research ...

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Showing results 1-20

Energy Data Science information

What is energy data science?

Energy data science is a specialized field that involves analyzing large datasets related to energy production, consumption, and infrastructure to optimize efficiency and inform decision-making. Professionals in this field often use statistical methods, machine learning, and data visualization tools to identify patterns and improve energy systems. Strong skills in programming, data analysis, and domain knowledge of energy systems are essential for this role.

What is the difference between Energy Data Science vs Energy Analyst?

AspectEnergy Data ScientistEnergy Analyst
Required CredentialsDegree in Data Science, Statistics, or related field; knowledge of programming languages like Python or RDegree in Energy, Economics, or related field; strong analytical skills
Work EnvironmentData-driven projects, modeling, and algorithm development in tech or energy companiesData analysis, reporting, and market assessment in energy firms or utilities
Employer & Industry UsageTech companies, energy firms focusing on data modeling and predictive analyticsUtilities, energy consulting, and market analysis firms

Energy Data Scientists focus on developing models and algorithms to analyze energy data, while Energy Analysts interpret data to inform business decisions. Both roles require analytical skills, but Data Scientists emphasize programming and modeling, whereas Analysts focus on reporting and market insights.

Infographic showing various Energy Data Science job openings in Portland, OR as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Data Scientist

AZAD Technology Partners

Vancouver, WA • Hybrid

$65 - $70/hr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 10 days ago


Job description

Join AZAD Technology Partners as a Data Scientist and work within the facility's Transmission Infrastructure Asset Management organization on the Strategy and Planning team. This assignment will provide support for projects under the program by providing analytical expertise for planning, development, integration, and implementation of asset management technologies, methods, and standards for interim and long-term solutions to manage risk and spend efficiency on the facility's transmission system. This assignment will analyze, process and model data and interpret the results to develop data-driven solutions.

This is a 2 year plus consultant position with high probability of long term and ongoing continued employment. This position is hybrid based in Vancouver, WA with onsite 3 days per week (Tuesday, Wednesday and Thursday). The hourly pay rate for this position is between $65.00 and $70.00 depending on related qualifications and experience, as well as composition of selected compensation package.

The ideal candidate must possess the minimum qualifications:

A Bachelor's or Master's degree in advanced mathematics, computer science, machine learning, or statistical methods is required:
With a Master's degree, 7 years' of hands-on experience performing the following is required
With a Bachelor's degree, 9 years' of experience is required:
Manipulating data sets, querying databases, and building statistical models
Statistical or data mining techniques
Using Web Services
Analyzing data from 3rd party users
Developing data models and algorithms
Creating and using advanced machine learning algorithms and statistics
Knowledge and understanding of financial analysis/budgeting, risk analysis, probability and statistics, and electric utility operations
With a Bachelor's degree, at least 10 graduate credits in computer science algorithms, statistics, software design, or data management OR one of the following Data Science Certifications or similar are also required:
Certified Analytics Professional (CAP)
Data Science Council of America (DASCA) Senior Data Scientist (SDS)
Data Science Council of America (DASCA) Principle Data Scientist (PDS)
Dell EMC Data Science Track
Google Certified Professional Data Engineer
Google Advanced Data Analytics Certificate for Machine Learning
IBM Data Science Professional Certificate
Mathematics experience including multivariate calculus, linear algebra, differential equations, and real analysis:
Probability and Statistics: including stochastic processes, classical inference techniques, maximum likelihood estimation, Bayesian methods, Monte Carlo, and bootstrapping.
Computer Science: design and analysis of algorithms and data structures, computational complexity, search methods.
Supervised Learning (e.g., regression techniques, regularization techniques, ridge regression, ensemble methods, optimization through linear programming and convex optimization, nonlinear programming).
Unsupervised Learning (e.g., clustering techniques, hierarchical clustering, dimensionality reduction, principal component analysis).
Time Series Analysis.
Demonstrated knowledge of computer languages including, but not limited to Python, Java, SQL, and R. Demonstrated knowledge of distributed or parallel processing techniques used in the analysis and processing of large data sets.
Skill in discerning the strengths and weaknesses of various best-practice quantitative solutions for a given real-world problem and skill in developing new quantitative approaches to cater to particular features as needed when standard assumptions are inappropriate.
Using considerable judgment, proven ability to take vague or broadly defined goals or business objectives and translate them to questions that can be answered or problems that can be addressed via data driven analysis.
Demonstrated ability to communicate and present proposals, findings, and recommendations, both written and orally, to senior staff, management and executives and to external parties (e.g., representing BPA regionally such as to key stakeholders, customers, industry organizations, or regulators).
Valid U.S. Driver's License or RealID is required.

Preferred Skills:

Knowledge of GIS and Asset Management Systems.
Experience with R software product(s).
Energy/utility industry experience.
Experience with Power BI (Microsoft Business Intelligence).



AZAD is looking for bright, talented, flexible, and customer centric problem solvers who enjoy the challenges associated with solving the most complex problems by utilizing the most sophisticated technologies and strong people skills.

Founded and managed by technologists and engineers, AZAD is a leading provider of Consulting Services to Fortune 500 and innovative firms since 1992.
AZAD's model provides a unique employment experience that is career path focused, relationship based and dedicated to advocacy and retention with an average tenure of 9 years.
Our collaborative approach to support our clients, projects and supporting our employees' career paths are the keys to our success. Join AZAD's professional team and enhance your career by being engaged with some of the most interesting projects in the Pacific Northwest.
If you enjoy working in such an environment, we encourage you to apply.
EXCELLENT EMPLOYEE BENEFITS including Co-paid Medical, Dental and Vision Insurance, Cafeteria Plan, Paid Sick Leave, 401K Plan, Credit Union Membership, and Referral Bonus.
U.S. Citizens only for Federal Clearance Requirement.

AZAD values diversity - in backgrounds and in experiences.
Since our inception, we have witnessed how our diverse workforce has thrived while contributing to the increases in innovation and advancements in the client organizations we serve.
AZAD is committed to Diversity, Equity & Inclusion and is striving to build an even more diverse, inclusive team that reflects the people and communities where we live and work.
AZAD, Inc. is an equal opportunity employer that considers and employs qualified individuals based upon job related qualifications regardless of race, color, sex, religion, creed, physical or mental disability, veteran's status, sexual orientation, national origin, age or any other status protected under applicable local, state or federal law. AZAD takes affirmative action to employ and advance in employment qualified employees and applicants who are disabled, disabled veterans, recently separated veterans, Armed Forces services medal veterans, and other protected veterans.
AZAD, Inc. is a Certified Minority Owned Business and OFCCP compliant.