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Environmental Data Science Jobs in Oregon (NOW HIRING)

Senior Data Scientist

OR · Remote

$84K - $112K/yr

  • Medical

  • Life

This is a high accountability environment where bold ideas drive real innovation for our customers ... Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions ...

Environmental Specialist 2

Medford, OR · On-site

  • Medical

  • Life

  • Retirement

Qualifications • Bachelor's degree in Environmental Science, Biology, Ecology, Natural Resources ... data management systems. • State-specific permitting and regulatory experience, including ...

OR · Hybrid

About the Team * This role is part of our Data Science team which is the largest team in our ... in production environments. * Experience designing and implementing robust data pipelines for ...

OR

$480K - $750K/yr

  • Medical

  • Life

  • Retirement

  • PTO

The Title & Launch Management Data Science and Engineering team is at the forefront of driving ... Netflix is a unique culture and environment. Learn more here. Inclusion is a Netflix value and we ...

We activate science to deliver progress--developing breakthrough solutions that strengthen ... Support data collection, analysis, and submittal of required environmental reports, including Fire ...

New

We activate science to deliver progress-developing breakthrough solutions that strengthen ... Support data collection, analysis, and submittal of required environmental reports, including Fire ...

New

Data Engineer - Clearance Required

$117K - $140K/yr

Ability to work independently in a fast-paced, mission-focused environment while collaborating effectively with data science, AI/ML, software, cybersecurity, governance, and operational teams.

Senior Generative AI Scientist I

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... environment where they are judged based on their direct impact to business outcomes. Please note ... Participate in other data science teams collaborating with your peers to support their projects.

Senior Generative AI Scientist I

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... environment where they are judged based on their direct impact to business outcomes. Please note ... Participate in other data science teams collaborating with your peers to support their projects.

Senior Generative AI Scientist II

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... environment where they are judged based on their direct impact on business outcomes. Please note ... Participate in other data science initiatives, collaborating with your peers to support their ...

Senior Staff Generative AI Scientist

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... environment where they are judged based on their direct impact to business outcomes ... Participate in other data science teams collaborating with your peers to support their projects.

Overview Instacart's Marketing Data Science and Analytics team partners across Marketing, Strategic ... If you thrive in a fast-paced environment that still moves like a startup-and you love rolling up ...

OR · On-site

... environment where every employee can do the best work of their career. Embedded within People ... About You Minimum Qualifications * 5+ years of experience in analytics, data science, business ...

Data Architect Manager

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

... environments, and personally dive into implementation details when needed. This is not a ... support reporting, analytics, applications, data science, and AI-enabled workflows.

Showing results 41-60

Environmental Data Science information

See Oregon salary details

$39.6K

$129.8K

$207.8K

How much do environmental data science jobs pay per year?

As of Aug 13, 2026, the average yearly pay for environmental data science in Oregon is $129,770.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,100.00 and $143,800.00 per year, depending on experience, location, and employer.

Is environmental data science a good major?

Environmental data science is a strong major for those interested in analyzing environmental data, using tools like GIS and statistical software. It prepares students for roles in environmental monitoring, research, and policy, often requiring skills in programming, data analysis, and environmental science. Job prospects are growing as organizations seek data-driven solutions to environmental challenges.

What does an environmental data scientist do?

An environmental data scientist analyzes environmental data to identify patterns, assess environmental risks, and support decision-making. They use statistical tools, programming languages like Python or R, and GIS software to interpret data related to climate, pollution, and natural resources, often working with large datasets and models to inform environmental policies and practices.

What is environmental data science?

Environmental Data Science is an interdisciplinary field that uses statistical, computational, and analytical techniques to collect, analyze, and interpret large sets of data related to the environment. Professionals in this field work on issues like climate change, pollution, biodiversity, and natural resource management by extracting meaningful insights from complex environmental datasets. Their work supports decision-making for policy, conservation, and sustainability initiatives. Environmental data scientists often collaborate with ecologists, geographers, and policymakers to address environmental challenges using data-driven approaches.

What are some common challenges faced by environmental data scientists when working with real-world datasets?

Environmental data scientists often encounter challenges such as incomplete or inconsistent data, varying data formats, and the need to integrate information from multiple sources like sensors, satellites, and field observations. Addressing missing values, data quality issues, and ensuring proper geospatial alignment can be time-consuming but is essential for producing reliable analyses. Collaboration with domain experts and stakeholders is frequently required to interpret findings and ensure that the results are actionable for environmental policy or management decisions.

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

AspectEnvironmental Data ScienceEnvironmental Data Analyst
Required CredentialsTypically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certificationsUsually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications
Work EnvironmentResearch labs, data centers, environmental agencies, or consulting firmsEnvironmental agencies, research organizations, or consulting firms
Employer & Industry UsageUsed in environmental research, climate modeling, and policy analysisUsed in environmental monitoring, reporting, and data interpretation

Environmental Data Science focuses on developing models and algorithms to analyze complex environmental data, often requiring advanced programming skills. In contrast, Environmental Data Analysts primarily interpret and visualize environmental data to support decision-making. Both roles are vital but differ in technical depth and scope.

What are the key skills and qualifications needed to thrive as an environmental data scientist, and why are they important?

To thrive as an Environmental Data Scientist, you need strong quantitative skills, expertise in environmental science, and a relevant degree in data science, statistics, or a related field. Familiarity with data analysis tools such as Python, R, GIS software, and experience with large datasets or machine learning techniques is typical. Exceptional problem-solving abilities, communication skills, and attention to detail set top performers apart in this field. These competencies are crucial for effectively interpreting complex environmental data, informing policy, and driving impactful sustainability initiatives.

What are the most commonly searched types of Environmental Data Science jobs in Oregon?

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

What cities in Oregon are hiring for Environmental Data Science jobs?

Cities in Oregon with the most Environmental Data Science job openings:

Infographic showing various Environmental Data Science job openings in Oregon as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,770 per year, or $62.4 per hour.

$84K - $112K/yr

Full-time

Medical, Life

Re-posted 2 days ago


Lumen Technologies rating

8.7

Company rating: 8.7 out of 10

Based on 105 frontline employees who took The Breakroom Quiz

8th of 98 rated telecommunications companies


Job description

Lumen is the trusted network for the AIpowered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, highperformance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities.

At Lumen, you'll work on infrastructure customers rely on today and build for what's next, where performance, security, and resilience matter.

This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you're ready to take ownership, deliver meaningful impact, and help shape the future of AIready connectivity, join us today.

The Role
Every transformation starts with a question: What's next? At Lumen, that question drives everything the company does. The networks, platforms, and infrastructure built today power the experiences customers depend on every day while creating the foundation for an AI-ready future. It is a place where bold ideas are welcomed, ownership is expected, and innovation is measured by the impact it creates for customers, partners, and communities. Trust, accountability, and collaboration are more than values at Lumen-they are the foundation of how the company works.
 
As Lumen continues to evolve, Corporate Finance is helping write the next chapter of that story through the power of data and AI. The organization is seeking a Senior Data Scientist who is energized by the opportunity to turn complex information into meaningful business outcomes. In this role, the successful candidate will leverage Databricks, Generative AI, and advanced analytics to build scalable solutions that drive smarter decisions, expand self-service insights, and automate critical finance processes.
 
More than developing models, this individual will have the opportunity to shape how data influences strategy across the organization. They will work alongside talented colleagues who challenge one another to think differently, solve meaningful problems, and create lasting value. At Lumen, their ideas can move from concept to impact, their expertise can help transform the business, and their work can play a direct role in defining the future of AI-powered connectivity.
Location

This is a work from home position from within the US. 

The Main Responsibilities
  • Build and enhance Databricks-based AI and analytics solutions that improve how Finance teams access and use insights.
  • Develop scalable data pipelines, workflows, and reporting solutions using Databricks, Data Factory, SQL, Python, and Power BI.
  • Apply statistical, forecasting, and machine learning techniques to solve business problems and strengthen decision support.
  • Automate manual processes, improve data quality, and strengthen the performance and reliability of analytics applications.
  • Partner across Finance, FP&A, Data Science, and IT to turn business needs into practical solutions and actionable insights.
  • Contribute to high-impact initiatives that advance how data and AI are used across Finance.
What We Look For in a Candidate

   3-5 years of experience in data science, data engineering, analytics, or a related role
   Strong Python and SQL skills
   Experience with Databricks, PySpark, or Spark-based processing
   Experience building data pipelines and working with large, complex datasets
   Strong analytical, problem-solving, and communication skills
Preferred Qualifications
   Experience with forecasting, predictive modeling, statistical analysis, or machine learning techniques
   Experience with Generative AI or LLM-based applications
   Experience with Power BI or similar visualization tools
   Exposure to financial data, FP&A, or enterprise reporting

Compensation
This information reflects the anticipated base salary range for this position based on current national data. Minimums and maximums may vary based on location. Individual pay is based on skills, experience and other relevant factors.
Location Based Pay Ranges
$84,629 - $112,838 in these states: AL  AR  AZ  FL  GA  IA  ID  IN  KS  KY  LA  ME  MO  MS  MT  ND  NE  NM  OH  OK  PA  SC  SD  TN  UT  VT  WI  WV  WY 
$88,860 - $118,480 in these states: CO  HI  MI  MN  NC  NH  NV  OR  RI 
$93,092 - $124,122 in these states: AK  CA  CT  DC  DE  IL  MA  MD  NJ  NY  TX  VA  WA 
Lumen offers a comprehensive package featuring a broad range of Health, Life, Voluntary Lifestyle benefits and other perks that enhance your physical, mental, emotional and financial wellbeing. We're able to answer any additional questions you may have about our bonus structure (short-term incentives, long-term incentives and/or sales compensation) as you move through the selection process.

Learn more about Lumen's:

  • Benefits
  • Bonus Structure

#LI-Remote

Requisition #: 342510

Life at Lumen

Life at Lumen is human and connected, even in a fast moving, AIfocused organization. We set clear expectations and trust people to meet them. With real support and shared accountability, teams collaborate better, move faster, and deliver meaningful outcomes. 

Our Lumen 8 behaviors guide how we interact, make decisions, and work together, shaping a culture built to perform and win.  

To learn more about Life at Lumen and how we live the Lumen 8, please visit:  
https://jobs.lumen.com/global/en/life-at-lumen

Background Screening

If you are selected for a position, there will be a background screen, which may include checks for criminal records and/or motor vehicle reports and/or drug screening, depending on the position requirements. For more information on these checks, please refer to the Post Offer section of our FAQ page. Job-related concerns identified during the background screening may disqualify you from the new position or your current role. Background results will be evaluated on a case-by-case basis.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

Equal Employment Opportunities

We are committed to providing equal employment opportunities to all persons regardless of race, color, ancestry, citizenship, national origin, religion, veteran status, disability, genetic characteristic or information, age, gender, sexual orientation, gender identity, gender expression, marital status, family status, pregnancy, or other legally protected status (collectively, "protected statuses"). We do not tolerate unlawful discrimination in any employment decisions, including recruiting, hiring, compensation, promotion, benefits, discipline, termination, job assignments or training.

Privacy Notice

Lumen is committed to protecting the privacy and security of personal information collected during the recruitment and hiring process. Our Applicant Privacy Notice explains how we collect, use, disclose, and protect applicant information, as well as how individuals may request access to or deletion of their personal data.

To review Lumen's Global Employment Applicant and Talent Community Privacy Notice, please visit:
https://jobs.lumen.com/global/en/privacy-notice

Disclaimer

The job responsibilities described above indicate the general nature and level of work performed by employees within this classification. It is not intended to include a comprehensive inventory of all duties and responsibilities for this job. Job duties and responsibilities are subject to change based on evolving business needs and conditions.

In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.

Please be advised that Lumen does not require any form of payment from job applicants during the recruitment process. All legitimate job openings will be posted on our official website or communicated through official company email addresses. If you encounter any job offers that request payment in exchange for employment at Lumen, they are not for employment with us, but may relate to another company with a similar name.


What Lumen Technologies employees say

Pay

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About Lumen Technologies

Sourced by ZipRecruiter

Lumen Technologies, headquartered in Monroe, LA, US, is a leader in the telecommunications industry. The company provides an array of solutions ranging from voice, broadband, and video services for consumers, businesses, and governmental agencies. Additionally, they offer data management, cloud, network, and IT services for enterprise customers. Lumen Technologies was founded in 1930, originally as the Louisiana Long Distance Independent Telephone Company. The company’s mission is to further human progress through technology, promoting a robust digital ecosystem, which is reflective of their core values of trust, respect, and innovative problem-solving that aims to have a significant impact on their clients' businesses.

Industry

Media and telecom

Company size

10,000+ Employees

Headquarters location

Monroe, LA, US

Year founded

1968

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