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Climate Data Scientist Jobs in Oregon (NOW HIRING)

Embedded Shishya

Senior Data Scientist

Portland, OR · On-site

$166K - $250K/yr

In 1999, NASA lost contact with its Mars Climate Orbiter after a 9-month journey from Earth. It ... To that end, we are hiring a Machine Learning-focused Data Scientist to support our Risk team. This ...

New

CannonDesign

Climate Resiliency Leader

OR · On-site +1

$117K - $146K/yr

... data science, consulting, research, smart buildings and innovation teams. * Identify new and emerging climate + resilience approaches and trends that support successful delivery of services to ...

Varsity Tutors

Earth Science Tutor

Portland, OR · Remote

$40/hr

... to climate. Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy.

Varsity Tutors

Earth Science Tutor

OR · Remote

$40/hr

... to climate. Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy.

Varsity Tutors

Earth Science Tutor

Eugene, OR · Remote

$40/hr

... to climate. Adapts instruction using rock and mineral samples, weather data analysis, and interactive mapping tools to support middle and high school students building scientific literacy.

Climate First Bank

Data Engineer

OR · On-site +1

$114K - $137K/yr

Bachelor's degree in Computer Science, Information Systems, Data Engineering, Finance, or related field. * 8+ years of overall IT experience with a focus on data engineering; banking or financial ...

Varsity Tutors

AP Environmental Science Tutor

OR · Remote

$40/hr

... climate change, and environmental policy as outlined in the AP Environmental Science framework ... data, and evaluating sustainability proposals. Emphasizes systems thinking and connects ...

Carbon Direct

Electrical Engineer

OR · On-site +1

... climate goals. We make carbon science accessible and actionable with our end-to-end platform ... The Role Overview We are seeking an experienced Electrical Engineer to join our growing Power, Data ...

US Department of Commerce

Meteorologist

Pendleton, OR · On-site +1

$40K/yr

... data to monitor conditions and assist with forecast preparation for weather, water, or climate hazards. OR EDUCATION: One full year of graduate-level education in Meteorology, Atmospheric Science, or ...

US Department of Commerce

Meteorologist

Portland, OR

$40K/yr

... data to monitor conditions and assist with forecast preparation for weather, water, or climate hazards. OR EDUCATION: One full year of graduate-level education in Meteorology, Atmospheric Science, or ...

US Department of Commerce

Meteorologist

Medford, OR · On-site +1

$40K/yr

... data to monitor conditions and assist with forecast preparation for weather, water, or climate hazards. OR EDUCATION: One full year of graduate-level education in Meteorology, Atmospheric Science, or ...

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Showing results 1-20

All JobsClimate Data Scientist JobsClimate Data Scientist Jobs in Oregon

Climate Data Scientist information

See Oregon salary details

$48.6K

$174.5K

$257.4K

How much do climate data scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for climate data scientist in Oregon is $174,471.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,100.00 and $179,700.00 per year, depending on experience, location, and employer.

What is a climate data scientist?

A Climate Data Scientist analyzes large datasets related to climate and environmental changes to identify patterns, make predictions, and support decision-making. They use statistical models, machine learning, and data visualization techniques to assess climate trends, extreme weather events, and environmental risks. Their work often supports policymakers, researchers, and organizations in mitigating climate change impacts and developing sustainable solutions.

What does a climate data scientist do?

Climate Data Scientists typically work on projects such as analyzing large climate datasets, developing predictive models for weather or environmental trends, and visualizing data to support scientific or policy reports. Day-to-day tasks may include cleaning and processing data, running simulations, and collaborating with other scientists or policy experts. There’s also a strong focus on communicating findings to both technical and non-technical audiences, often as part of a multidisciplinary team. This variety ensures that each day brings new challenges and opportunities to contribute to impactful environmental solutions.

What are the key skills and qualifications needed to thrive as a climate data scientist?

To thrive as a Climate Data Scientist, you need a strong background in statistics, environmental science, and programming, often supported by an advanced degree in a related field. Expertise with data analysis tools like Python, R, machine learning libraries, and experience with geospatial systems such as GIS is highly valued. Strong problem-solving, communication, and collaboration skills help you interpret complex climate data and convey insights to diverse stakeholders. These abilities are crucial for effectively turning vast climate datasets into actionable information that drives environmental research and policy decisions.

What are the most commonly searched types of Climate Data Scientist jobs in Oregon?

The most popular types of Climate Data Scientist jobs in Oregon are:

What are popular job titles related to Climate Data Scientist jobs in Oregon?

For Climate Data Scientist jobs in Oregon, the most frequently searched job titles are:

What job categories do people searching Climate Data Scientist jobs in Oregon look for?

The top searched job categories for Climate Data Scientist jobs in Oregon are:

What cities in Oregon are hiring for Climate Data Scientist jobs?

Cities in Oregon with the most Climate Data Scientist job openings:

Climate Data Scientist jobs near you
Infographic showing various Climate Data Scientist job openings in Oregon as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 67% Full Time, 29% Part Time, and 2% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $174,471 per year, or $83.9 per hour.

Senior Data Scientist

Portland, OR • On-site

Embedded Shishya
See more jobs at Embedded Shishyaexternal

$166K - $250K/yr

Other

Posted 2 days ago

New

Job description

In 1999, NASA lost contact with its Mars Climate Orbiter after a 9-month journey from Earth. It began its planned orbital insertion maneuver but went out of radio contact after passing behind Mars. While we may never know whether it was destroyed in the atmosphere or re-entered heliocentric space, we can draw the lesson that getting the details (in this case, units) right is critical, especially when shooting for the stars.

While Mercury’s cosmic journey may be more metaphorical, we have our own sky-high ambitions and the need to marry those with precise data analysis.

To that end, we are hiring a Machine Learning-focused Data Scientist to support our Risk team. This team is responsible not only for detecting, monitoring, and mitigating both first- and third-party fraud but also ensuring we know and understand our customers while monitoring their behavior for financial crime risk. You’ll play a key role in strengthening our fraud defenses while ensuring that Mercury continues to deliver a smooth and trustworthy banking* experience.

This is an opportunity to join Mercury at a pivotal moment in our growth. You’ll be working on some of the most critical challenges facing the business and collaborating across product, engineering, and risk to protect our customers and the financial system at large.

Here are some things you’ll do on the job:
  • Build, validate, and deploy machine learning models to identify and prevent fraud in real time
  • Support the reproducibility and robustness of said models through documentation, testing, and monitoring
  • Ensure data quality and reliability across pipelines and tools
  • Collaborate with Risk Strategy to ideate on model inputs and applications and with Engineering optimize deployment and observability
You should have:
  • 5+ years of experience working with and analyzing large datasets to solve problems and drive impact, with 3+ years of ML experience
  • Proficiency in SQL and experience using it to understand and manage imperfect data
  • Proficiency in Python and experience with statistical modeling and machine learning
  • Experience deploying and monitoring machine learning models in production
  • Comfort working in a fast-paced environment with evolving priorities
Ideally you also have:
  • 1+ years of relevant risk experience
  • Familiarity with LLMs or other GenAI and how they can be applied to risk or fraud detection
  • Experience with modern data tools for pipelines and ETL (e.g., dbt)
  • Experience with model governance as required in finance or other regulated industries
  • Experience building zero-to-one solutions in ambiguous or greenfield problem spaces

*Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

#LI-AC1

Total Rewards The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

Our target new hire base salary ranges for this role are the following:

US employees (any location):

$166,600 - $250,900 USD

Canadian employees (any location):

$157,400 - $237,100 CAD

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