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Computer Science Environmental Jobs in Seattle, WA

Jobtailor

AI Research Scientist

Seattle, WA · On-site

$150 - $210/hr

PhD in Computer Science, Applied Mathematics, Statistics, Computational Biology, or a related field ... Familiarity with large‑scale training and evaluation environments and scientific computing ...

Amazon

Data Engineer, PXT Central Science

Seattle, WA · On-site

$130K - $156K/yr

... environments. You will be responsible for enhancing our existing data architecture to further ... foreign equivalent in computer science, engineering, mathematics or equivalent PREFERRED ...

Amazon

Applied Scientist II - AMZ9971140

Seattle, WA · On-site

$153K - $193K/yr

... environments. Build and maintain production-grade automated reasoning tools and ML pipelines for ... Master's degree or foreign equivalent degree in Computer Science, Machine Learning, Statistics, or ...

Prolim Global

Applied Perception Scientist

Redmond, WA · On-site

... environment - Experience with scientific programming languages such as Matlab, Python, C++, or R ... Computer Science, Computer Engineering, Biomedical Engineering, Computational Audiology or a ...

MCG Health

Director, Data Science

Seattle, WA · On-site

We cultivate a work environment that nurtures personal and professional growth, and this is a ... D. in Computer Science, Machine Learning, Artificial Intelligence, Data Science, or a related ...

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Showing results 41-60

All JobsComputer Science Environmental JobsComputer Science Environmental Jobs in Seattle, WA

Computer Science Environmental information

See Seattle, WA salary details

$46.7K

$95.7K

$140K

How much do computer science environmental jobs pay per year?

As of Aug 22, 2026, the average yearly pay for computer science environmental in Seattle, WA is $95,735.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,400.00 and $112,100.00 per year, depending on experience, location, and employer.

What is a computer science environmental?

A Computer Science Environmental job involves applying computer science skills to solve environmental challenges, such as climate modeling, data analysis for sustainability, or developing software for environmental monitoring. Professionals in this field work with big data, machine learning, and simulation models to assess environmental impacts and optimize resource management. They may collaborate with scientists, policymakers, and engineers to develop technology-driven solutions for conservation, pollution control, and energy efficiency.

What kinds of projects do computer science environmental professionals typically work on?

Professionals in Computer Science Environmental roles commonly work on projects such as developing models to predict the impacts of climate change, creating software tools for environmental data analysis, or building systems for monitoring air and water quality. You may collaborate with environmental scientists, engineers, and policy makers to design technology-based solutions that address environmental issues. These projects often involve handling large data sets, implementing algorithms, and visualizing results for diverse audiences. This dynamic role offers the opportunity to make a tangible impact on sustainability efforts by leveraging your technical expertise in real-world applications.

What are the key skills and qualifications needed to thrive in the computer science environmental position, and why are they important?

To thrive as a Computer Science Environmental professional, you should possess a solid background in computer science, data analysis, and environmental science, often supported by a relevant degree. Familiarity with programming languages (such as Python or R), geographic information systems (GIS), climate modeling software, and environmental databases is typically required. Strong problem-solving skills, attention to detail, and collaborative communication help individuals stand out in multidisciplinary teams. These skills are vital for effectively developing, analyzing, and implementing technology-driven solutions to complex environmental challenges.

What are the most commonly searched types of Computer Science Environmental jobs in Seattle, WA?

The most popular types of Computer Science Environmental jobs in Seattle, WA are:

What are popular job titles related to Computer Science Environmental jobs in Seattle, WA?

For Computer Science Environmental jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Computer Science Environmental jobs in Seattle, WA look for?

The top searched job categories for Computer Science Environmental jobs in Seattle, WA are:

Computer Science Environmental jobs near you
Infographic showing various Computer Science Environmental job openings in Seattle, WA as of August 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 100% In-person job distribution, with an average salary of $95,735 per year, or $46 per hour.

Assistant Director, Data Science (STP)

Liberty Mutual

Seattle, WA • On-site, Remote

Full-time

Re-posted 10 days ago

Liberty Mutual rating

8.8

Company rating: 8.8 out of 10

Based on 161 frontline employees who took The Breakroom Quiz

47th of 311 rated insurance

Job description

DescriptionDuties:  Lead end-to-end delivery of predictive analytics solutions, including problem definition, data preparation, feature engineering, model development, validation, and deployment.Independently translate business objectives into analytic approaches, success metrics, and project plans for medium-sized data science initiatives. Partner with cross-functional stakeholders to gather requirements, prioritize use cases, and align analytics deliverables with business strategy. Apply machine learning, deep learning, statistical modeling, and optimization techniques to large structured and unstructured datasets to generate insights and predict outcomes.Identify and test hypotheses using appropriate statistical methods and evaluate model performance to ensure statistical rigor of findings. Develop and apply computer vision methods for insurance-domain use cases, including model training, evaluation, and monitoring. Produce clear visualizations and written/presented narratives that communicate findings and recommendations to non-technical and senior audiences. Document modeling methodology, assumptions, limitations, and results to support reproducibility and governance and implement monitoring to maintain model performance over time. Provide technical guidance through code review and best-practice recommendations to support team execution and consistency.Position requires domestic travel up to 10%. Telecommuting permitted up to 60%.  QualificationsRequirements:  Employer will accept a PhD degree in Computer Science, Statistics, or related field and two (2) years of experience in the job offered or in an Asst Dir, Data Science (STP)-related occupation. Alternatively, employer will accept a Master's degree in Computer Science, Statistics, or related field and four (4) years of experience in the job offered or in an Asst Dir, Data Science (STP)-related occupation.  Position requires demonstrable experience in the following:Conduct experiments and data-driven studies to support business decisions in an insurance setting, including hypothesis testing, interpreting results, and communicating findings. Deliver strategic decision support using insurance analytics and pricing platforms, including Emblem, Earnix, or equivalent tools. Implement data and model artifact versioning and reproducible ML workflows using version control tools, including DVC and MLflow. Build and maintain monitoring dashboards and production data pipelines using data warehouse and workflow orchestration tools, including Snowflake and Airflow. Apply geospatial fundamentals, including coordinate reference systems, map projections, and pixel-to-geo transforms. Train, evaluate, and improve computer vision models, including object detection and segmentation, and perform model performance diagnostics and error analysis. Optimize deep learning training performance through profiling, efficient data loading, and training optimizations. Develop, deploy, and operate data science solutions using public cloud platforms, including AWS and Azure. Containerize ML services and pipelines using Docker and apply CI/CD and deployment automation practices for production releases. Monitor and troubleshoot production scoring and data pipelines, including performance tracking, incident triage, and root-cause analysis. Develop and maintain labeling guidelines and label taxonomies for computer vision datasets, and coordinate with annotation resources to support dataset development. Experience may be gained during graduate program. Will accept any suitable combination of education, training, and/or experience. Multiple Positions Available. About Us

Pay Philosophy: The typical starting salary range for this role is determined by a number of factors including skills, experience, education, certifications and location. The full salary range for this role reflects the competitive labor market value for all employees in these positions across the national market and provides an opportunity to progress as employees grow and develop within the role. Some roles at Liberty Mutual have a corresponding compensation plan which may include commission and/or bonus earnings at rates that vary based on multiple factors set forth in the compensation plan for the role.At Liberty Mutual, our goal is to create a workplace where everyone feels valued, supported, and can thrive. We build an environment that welcomes a wide range of perspectives and experiences, with inclusion embedded in every aspect of our culture and reflected in everyday interactions. This comes to life through comprehensive benefits, workplace flexibility, professional development opportunities, and a host of opportunities provided through our Employee Resource Groups. Each employee plays a role in creating our inclusive culture, which supports every individual to do their best work. Together, we cultivate a community where everyone can make a meaningful impact for our business, our customers, and the communities we serve.We value your hard work, integrity and commitment to make things better, and we put people first by offering you benefits that support your life and well-being. To learn more about our benefit offerings please visit: https://www.libertymutualgroup.com/about-lm/careers/benefitsLiberty Mutual is an equal opportunity employer. We will not tolerate discrimination on the basis of race, color, national origin, sex, sexual orientation, gender identity, religion, age, disability, veteran's status, pregnancy, genetic information or on any basis prohibited by federal, state or local law.Fair Chance Notices

  • California
  • Los Angeles Incorporated
  • Los Angeles Unincorporated
  • Philadelphia
  • San Francisco
Employment Type: FULL_TIME

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About Liberty Mutual

Sourced by ZipRecruiter

Since 1912, we've grown into the fifth largest global property and casualty insurer based on 2022 gross written premium. We also rank 86 on the Fortune 100 list of largest corporations in the US based on 2022 revenue. ​At Liberty Mutual Insurance we work hard every day to support our customers and our people, so they can protect their families, build their businesses and invest in their futures. We are headquartered in Boston, but our people, our customers and our reach span the globe. So to better serve our global customers and employees, we are organized into three business units.

Industry

Insurance services

Company size

10,000+ Employees

Headquarters location

Boston, MA, US

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