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Environmental Data Science Jobs in Oregon (NOW HIRING)

SOSi

Data Scientist

OR · On-site

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested ...

OneStudyTeam

Senior Data Scientist

OR · On-site +1

$140K - $190K/yr

Experience: 5+ years of hands-on data science or analytics experience, preferably in a healthcare, clinical research, or other highly regulated data environment. * Statistical & ML Expertise: Strong ...

SOSi

Data Scientist

OR · On-site +1

Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or; * seven ... Additional Information Work Environment * Full remote flexibility. Working at SOSi All interested ...

Deloitte

AI and Data Science Engineer III

Portland, OR · On-site +1

$121K - $145K/yr

AI and Data Science Engineer III Position Summary Our Deloitte Human Capital team transforms ... Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment * Strong ...

Baylor Scott & White Health

$114K/yr

Experience working in a cloud environment such as Azure, and their ML services and tooling ... Experience managing multiple complex and scaled data science projects concurrently. * Experience ...

eNett

OR · On-site

Experience using cloud environments to develop advanced models, such as AWS Sagemaker * Experience with end-to-end machine learning systems and MLOps framework Key Words Data Science, Machine ...

WEX

OR · On-site

Experience using cloud environments to develop advanced models, such as AWS Sagemaker * Experience with end-to-end machine learning systems and MLOps framework Key Words Data Science, Machine ...

Learnkwik.com

Data Science Training

Portland, OR

Professional environment. Special interview training Training for skill enhancement. Study material and Lab material provided. E-Verified company. If you are interested or if you know anyone looking ...

Learnkwik.com

Data Science Training

Portland, OR · On-site

... on Data Science. . Provide OPT Stem Ext.: Guidance and support for applying for the 24-month OPT ... environment. • Highly qualified and experienced trainers. • Professional environment. • ...

Deloitte

Data Scientist

Portland, OR

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Scientist, you will have the ability to share new ideas and ...

Imagine Pediatrics

OR

$135K - $160K/yr

Work with Data Science and other cross functional teams to define requirements, optimize data ... a start-up or growth environment * Pluses but not required: * o Healthcare experience * o ...

Waymark

OR

Make architectural trade-offs, drive alignment across data science, engineering, product, and ... environment. Experience with ML pipelines, model versioning, and reproducible workflows at scale.

Amerilife Group, LLC

OR

Our AI & Data Science team is small, high-impact, and building a modern AI capability from the ... Proven experience building and validating time-series forecasting models in production environments

Netflix

OR · On-site

Demonstrated success in designing and delivering data science and analytics projects within highly ambiguous and complex business environments * Master's or PhD degree in Statistics, Machine Learning ...

BECU

Data Scientist

OR · On-site +1

$75K - $140K/yr

An environment that encourages innovation, experimentation, and continuous learning in data science and analytics. * The ability to make a direct impact on how BECU serves and supports its members ...

BlueLabs, Inc.

OR

The BlueLabs Data Science Team develops deep expertise and uses data to inform strategic advice to ... We work in changing, ambiguous environments, so we embrace nuance, inclusivity, and complexity to ...

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Showing results 1-20

All JobsEnvironmental Data Science JobsEnvironmental Data Science Jobs in Oregon

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 Jun 15, 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.

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 in research or consulting settings.

Can data scientists make $300k?

Environmental data scientists can potentially earn $300,000 or more at senior levels or in specialized roles, especially with extensive experience, advanced skills in machine learning, and working in high-demand industries or organizations. However, such salaries are typically achieved through seniority, leadership positions, or in regions with higher compensation standards.

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.

Is 40 too late for data science?

Environmental Data Science is a field that values skills and experience over age, and many professionals transition into it later in their careers. Gaining relevant knowledge in programming, statistics, and environmental science can be achieved at any age, and employers often prioritize expertise and problem-solving ability over age-related factors.

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 is the highest paying environmental science job?

Environmental Data Science roles such as senior environmental data scientists or environmental analytics managers tend to have the highest salaries in the field, often exceeding $100,000 annually. These positions typically require advanced skills in data analysis, programming, and environmental modeling, and may involve leadership responsibilities or specialized expertise in areas like climate modeling or sustainability analytics.

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 are popular job titles related to Environmental Data Science jobs in Oregon? For Environmental Data Science jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science jobs in Oregon look for? The top searched job categories for 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:
Environmental Data Science jobs near you

Data Scientist

SOSi

OR • On-site

Full-time

Posted 29 days ago

Job description

Company Description

Founded in 1989, SOSi is among the largest private, founder-owned technology and services integrators in the defense and government services industry. We deliver tailored solutions, tested leadership, and trusted results to enable national security missions worldwide.

Job Description

SOSi is seeking a Data Scientist to support mission requirements for a structured approach to further develop, integrate, and sustain a scalable, federated data ecosystem that enhances interoperability, governance, and mission-driven analytics for a DoD customer. The primary objective of the program is to bridge the operational gaps between DoD, IC, interagency, and non-traditional international partners to enable real-time information sharing, dynamic data integration, and mission-tailored analytical capabilities.

Essential Job Duties:

  • The contractor shall develop and refine predictive models, conduct exploratory data analysis, and generate AI-driven insights to enhance intelligence and operational planning.
  • The contractor shall integrate customer feedback into model iteration cycles, leveraging Agile development methodologies to maintain responsiveness to mission requirements.
  • The contractor shall submit the Predictive Model Performance Report, documenting key findings, model accuracy metrics, and operational impact assessments.
  • The contractor shall implement sprint-based Agile methodologies, ensuring rapid development cycles, backlog grooming, and alignment with mission requirements.
  • The contractor shall provide a Rough Order of Magnitude (ROM) Estimate Report before each analytics project, detailing expected Full-Time Equivalent (FTE) hours, compute costs, storage consumption, and infrastructure requirements.
  • The contractor shall conduct quarterly reviews to track cost efficiency, assess system performance, and optimize analytic workflows through the Quarterly Cost & Resource Utilization Report.
Qualifications
  • Bachelor's degree in Data Science, Statistics, Computer Science, or a related field, or;
    • seven (7) years of equivalent experience in machine learning and predictive modeling. 
  • Proposed personnel possess the knowledge and capability to develop and refine predictive models, analyze large-scale datasets, and document analytic processes.
  • Proficient in data mining, statistical modeling, and AI-driven forecasting techniques, with experience in working with structured and unstructured data sources.
  • Knowledge of data visualization, feature selection, and geospatial analytics is required.
  • Personnel must be capable of integrating data from multiple sources, ensuring model accuracy, and working within an Agile sprint cycle to deliver iterative improvements.
  • Demonstrated experience in exploratory data analysis, feature engineering, and statistical testing. Experience with Python, R, SQL, and data science libraries (e.g., Pandas, NumPy, SciPy) is required.
  • Personnel must have experience in cloud-based AI/ML tools, such as AWS SageMaker or Azure Machine Learning, and in implementing models into operational workflows.

Preferred Qualifications:

  • Desirable but not required certifications include AWS Certified Data Analytics - Specialty, Microsoft Certified: Azure AI Fundamentals, or Certified Data Scientist (CDS).
Additional Information

Work Environment

  • Full remote flexibility.

Working at SOSi

All interested individuals will receive consideration and will not be discriminated against for any reason.

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