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Energy Data Science Jobs in Oregon (NOW HIRING)

Logistics Management Institute

$83K - $144K/yr

Bachelor's degree in data science, mathematics, statistics, economics, computer science ... Experience working with federal energy or sustainability data processes. Target salary range: $83 ...

Stem, Inc.

OR · On-site

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

Robots and Pencils

OR · On-site

We've earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial ... Apply a range of data science techniques and tools combined with subject matter expertise to solve ...

Varsity Tutors

Middle School Science Tutor

OR · Remote

$40/hr

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 ...

Varsity Tutors

Middle School Science Tutor

Portland, OR · Remote

$40/hr

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 ...

Varsity Tutors

Middle School Science Tutor

Eugene, OR · Remote

$40/hr

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 ...

Deloitte

Senior AI Engineer - SFL Scientific

Portland, OR

$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 ...

Waymark

OR

$125K - $172K/yr

Our community-based care teams-powered by proprietary data science and ML technologies-support care ... If this resonates with you, we invite you to bring your creativity, energy, and curiosity to ...

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All JobsEnergy Data Science JobsEnergy Data Science Jobs in Oregon

Energy Data Science information

Is 40 too late for data science?

Energy Data Science is a field that values skills, experience, and continuous learning over age. Many professionals transition into data science later in their careers by acquiring relevant technical skills, certifications, and practical experience, making age less of a barrier. Success depends on your ability to adapt and build a strong portfolio of work, regardless of age.

What is the 80 20 rule in data science?

In energy data science, the 80/20 rule, also known as the Pareto principle, suggests that roughly 80% of outcomes result from 20% of the causes. Data scientists often use this rule to focus on the most impactful variables or data segments to optimize analysis and decision-making.

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 success in 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.

What is the highest paid job in data science?

In data science, senior roles such as Lead Data Scientist, Machine Learning Engineer, or Data Science Director tend to have the highest salaries, often exceeding $150,000 annually depending on experience, industry, and location. Specialized skills in deep learning, AI, and cloud platforms can also command higher compensation.
What are popular job titles related to Energy Data Science jobs in Oregon? For Energy Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Energy Data Science jobs in Oregon look for? The top searched job categories for Energy Data Science jobs in Oregon are:
What cities in Oregon are hiring for Energy Data Science jobs? Cities in Oregon with the most Energy Data Science job openings:
Energy Data Science jobs near you
Infographic showing various Energy Data Science job openings in Oregon as of June 2026, with employment types broken down into 10% Internship, 77% Full Time, and 13% Part Time. Highlights an 90% In-person, 5% Hybrid, and 5% Remote job distribution.
Energy Data Analytics Lead

Energy Data Analytics Lead

Logistics Management Institute

On-site

$83K - $144K/yr

Other

Posted 7 days ago

Job description

Overview

LMI is seeking a skilled Energy Data Analytics Lead focused on infrastructure, energy, and environment data and tools. Successful candidates demonstrate competency in data pipelining, data analysis, statistics, programming, project execution, tool development and optimization, and critical thinking paired with functional knowledge of infrastructure, energy, or environment data. 

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors-helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Responsibilities
  • Support a major civilian federal agency while leading data engineering initiatives across LMI as needed.
  • Optimize and modernize data pipelines to improve performance, scalability, and long-term sustainability.
  • Design and develop new data tools and solutions to support reporting, analytics, and business needs.
  • Serve as the lead Data Architect, driving tool development, solution implementation, and innovation across the division.
  • Apply functional knowledge of energy-related operations to inform architecture, analytics, and solution design.
Qualifications

Required: 

  • Bachelor's degree in data science, mathematics, statistics, economics, computer science, engineering, or a related business or quantitative discipline. 
  • Broad working familiarity with data analysis, automation, dashboards, databases, cloud data tools, APIs, and lightweight application or scripting approaches. 
  • Experience using technical tools such as Python, JavaScript, Google Apps Script, SQL, BI platforms, or cloud data services to improve reporting, analysis, or operational workflows. 
  • Working knowledge of data pipelines and data transformation concepts, including data ingestion, validation, reconciliation, refresh processes, and documentation. 
  • Ability to evaluate existing tools and workflows, identify technical risks or inefficiencies, and recommend practical improvements across multiple possible technological approaches. 
  • Ability to coordinate with analysts, developers, data engineers, and non-technical stakeholders to scope requirements, compare solution options, and support implementation. 
  • Ability to explain technical work in concrete terms, including the problem addressed, tools used, users served, tradeoffs considered, and maintenance approach. 

Desired: 

  • Federal consulting experience preferred.
  • Experience with Google Workspace, especially Google Sheets and Google Apps Script. 
  • Experience with Google Cloud Platform, BigQuery, or comparable cloud database environments. 
  • Experience with BI or visualization tools such as Looker Studio, Tableau, Power BI, MicroStrategy, Qlik, or similar platforms. 
  • Familiarity with REST APIs, JSON, web technologies, ETL tools, or advanced analytics methods. 
  • Experience modernizing manual, spreadsheet-based, or legacy reporting workflows into more reliable and scalable processes. 
  • Experience working with federal energy or sustainability data processes.

Target salary range: $83,367 - $144,404.55

Disclaimer: 

The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

Employment Type: OTHER

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