Design and execute end-to-end data science projects, from problem definition to solution deployment ... Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ...
Design and execute end-to-end data science projects, from problem definition to solution deployment ... Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ...
Design and execute end-to-end data science projects, from problem definition to solution deployment ... Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ...
Design and execute end-to-end data science projects, from problem definition to solution deployment ... Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ...
About the team Finance and Strategy Data Science builds the forecasting models, data infrastructure ... You foster a healthy, inclusive, challenging, and supportive work environment. Preferred ...
About the team Finance and Strategy Data Science builds the forecasting models, data infrastructure ... You foster a healthy, inclusive, challenging, and supportive work environment. Preferred ...
About the team Finance and Strategy Data Science builds the forecasting models, data infrastructure ... You foster a healthy, inclusive, challenging, and supportive work environment. Preferred ...
About the team Finance and Strategy Data Science builds the forecasting models, data infrastructure ... You foster a healthy, inclusive, challenging, and supportive work environment. Preferred ...
Design and execute end-to-end data science projects, from problem definition to solution deployment ... Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ...
Design and execute end-to-end data science projects, from problem definition to solution deployment ... Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ...
Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ... Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments
Data Science Director Responsibilities: * Inspire, lead and grow a distributed team of data ... Intellectual curiosity, drive, and decisiveness with ambiguous and complex environments
About the team Finance and Strategy Data Science builds the forecasting models, data infrastructure ... You foster a healthy, inclusive, challenging, and supportive work environment. Preferred ...
About the team Finance and Strategy Data Science builds the forecasting models, data infrastructure ... You foster a healthy, inclusive, challenging, and supportive work environment. Preferred ...
Data Scientist
Seattle, WA · On-site +1
Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Work Environment The firm's work location requirements may be modified at the firm's discretion.
New
Data Scientist
Seattle, WA · On-site +1
Prioritizes, scopes and manages data science projects for internal stakeholders and clients ... Work Environment The firm's work location requirements may be modified at the firm's discretion.
New
We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Researching and proposing solutions to the different science problems in an evolving environment
We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Researching and proposing solutions to the different science problems in an evolving environment
Data Science PhD Intern
Kirkland, WA · On-site
We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Researching and proposing solutions to the different science problems in an evolving environment
Data Science PhD Intern
Kirkland, WA · On-site
We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work ... Researching and proposing solutions to the different science problems in an evolving environment
Data Scientist, Creative X - Science
Seattle, WA · On-site
$136 - $184/hr
Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ... Promote the culture of experimentation and data science at Amazon About the team Our team ...
New
Data Scientist, Creative X - Science
Seattle, WA · On-site
$136 - $184/hr
Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ... Promote the culture of experimentation and data science at Amazon About the team Our team ...
New
Design and execute end-to-end data science projects, from problem definition to solution deployment ... Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ...
Design and execute end-to-end data science projects, from problem definition to solution deployment ... Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ...
Design and execute end-to-end data science projects, from problem definition to solution deployment ... Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ...
Design and execute end-to-end data science projects, from problem definition to solution deployment ... Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment ...
Advanced Data Science Associate
Bellevue, WA · On-site
$105K - $119K/yr
What You'll Bring * 1-3 years of relevant professional work experience in Data Science. * A robust ... different environments and cultures. Considering applying? At ZS, we honor the visible and ...
Advanced Data Science Associate
Bellevue, WA · On-site
$105K - $119K/yr
What You'll Bring * 1-3 years of relevant professional work experience in Data Science. * A robust ... different environments and cultures. Considering applying? At ZS, we honor the visible and ...
Advanced Data Science Associate
Bellevue, WA · On-site
$66K - $67K/yr
What You'll Bring * 1-3 years of relevant professional work experience in Data Science. * A robust ... different environments and cultures. Considering applying? At ZS, we honor the visible and ...
Advanced Data Science Associate
Bellevue, WA · On-site
$66K - $67K/yr
What You'll Bring * 1-3 years of relevant professional work experience in Data Science. * A robust ... different environments and cultures. Considering applying? At ZS, we honor the visible and ...
Data Science Support -- Management Decision Tools
Seattle, WA · On-site
$1/hr
Collect fish and environmental data in freshwater, estuarine, and nearshore marine environments of ... scientific conferences, as needed. EDUCATION & EXPERIENCE:Required:Education: Bachelor's degree or ...
Quick apply
Data Science Support -- Management Decision Tools
Seattle, WA · On-site
$1/hr
Collect fish and environmental data in freshwater, estuarine, and nearshore marine environments of ... scientific conferences, as needed. EDUCATION & EXPERIENCE:Required:Education: Bachelor's degree or ...
Collect fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region; field collection involves harsh outdoor conditions in/around water and may ...
Collect fish and environmental data in freshwater, estuarine, and nearshore marine environments of the West Coast region; field collection involves harsh outdoor conditions in/around water and may ...
... customer data. You will work close to science: probing why a model behaves the way it does ... and ever-changing environment. Key job responsibilities • Design and analyze randomized ...
... customer data. You will work close to science: probing why a model behaves the way it does ... and ever-changing environment. Key job responsibilities • Design and analyze randomized ...
Working closely with the Translational Data Science Staff Scientist, this position contributes to ... Familiarity with structured data models and relational data environments. * Understanding ...
Working closely with the Translational Data Science Staff Scientist, this position contributes to ... Familiarity with structured data models and relational data environments. * Understanding ...
Data Scientist III
Seattle, WA · On-site
Working closely with the Translational Data Science Staff Scientist, this position contributes to ... Familiarity with structured data models and relational data environments. * Understanding ...
Data Scientist III
Seattle, WA · On-site
Working closely with the Translational Data Science Staff Scientist, this position contributes to ... Familiarity with structured data models and relational data environments. * Understanding ...
Environmental Data Science information
See Seattle, WA salary details
$42.7K - $59.1K
2% of jobs
$59.1K - $75.6K
3% of jobs
$75.6K - $92K
6% of jobs
$92K - $108.5K
9% of jobs
$113.8K is the 25th percentile. Wages below this are outliers.
$108.5K - $124.9K
15% of jobs
The median wage is $135.9K / yr.
$124.9K - $141.4K
22% of jobs
$150.4K is the 75th percentile. Wages above this are outliers.
$141.4K - $157.8K
32% of jobs
$157.8K - $174.3K
3% of jobs
$174.3K - $190.7K
4% of jobs
$190.7K - $207.2K
1% of jobs
$207.2K - $223.6K
2% of jobs
$42.7K
$139.7K
$223.6K
How much do environmental data science jobs pay per year?
As of Aug 20, 2026, the average yearly pay for environmental data science in Seattle, WA is $139,680.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,100.00 and $154,800.00 per year, depending on experience, location, and employer.
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 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 is the difference between Environmental Data Science vs Environmental Data Analyst?
| Aspect | Environmental Data Science | Environmental Data Analyst |
|---|---|---|
| Required Credentials | Typically requires a degree in data science, environmental science, or related fields; often includes programming and statistical certifications | Usually requires a degree in environmental science, geography, or related fields; may include basic data analysis certifications |
| Work Environment | Research labs, data centers, environmental agencies, or consulting firms | Environmental agencies, research organizations, or consulting firms |
| Employer & Industry Usage | Used in environmental research, climate modeling, and policy analysis | Used 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.
Is environmental data science a good major?
Environmental Data Science is a relevant major for careers involving analyzing environmental data, modeling ecological systems, and supporting sustainability efforts. It typically combines skills in data analysis, programming, and environmental science, preparing graduates for roles in research, consulting, or government agencies.
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 large datasets related to climate, pollution, and natural resources.
What are the most commonly searched types of Environmental Data Science jobs in Seattle, WA?
The most popular types of Environmental Data Science jobs in Seattle, WA are:
What are popular job titles related to Environmental Data Science jobs in Seattle, WA?
For Environmental Data Science jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Environmental Data Science jobs in Seattle, WA look for?
The top searched job categories for Environmental Data Science jobs in Seattle, WA are:
What cities near Seattle, WA are hiring for Environmental Data Science jobs?
Cities near Seattle, WA with the most Environmental Data Science job openings:
Amazon rating
7.4
Based on 7,098 frontline employees who took The Breakroom Quiz
6th of 39 rated national retailers
Job description
Data Scientist
We are seeking a talented Data Scientist to join our growing science team. In this role, you will leverage your analytical and technical expertise to extract valuable insights from complex datasets, develop machine learning models, and drive data-informed decision-making across the organization.
Key Responsibilities:
Design and execute end-to-end data science projects, from problem definition to solution deployment
Develop and implement machine learning models to solve business problems and improve operational efficiency
Create and maintain data pipelines for model training and deployment
Conduct exploratory data analysis to uncover patterns and trends
Collaborate with stakeholders to understand business requirements and translate them into technical solutions
Present findings and recommendations to technical and non-technical audiences
Monitor and optimize model performance
Key job responsibilities
We are looking for talented Data Scientists who are adept at predictive modeling, reinforcement learning, recommendations, and familiarity with LLMs, latent diffusion, or related foundational models that will accelerate our plans to dynamically optimize ad creatives on behalf of advertisers. Every member of the team is expected to build customer (advertiser) facing features, contribute to the collaborative spirit within the team, publish, patent, and raise the research bar within the team.
* Rapidly design, prototype and test many possible hypotheses in a high-ambiguity environment, perform hands-on analysis and modeling of enormous data sets to develop insights that improve shopper experiences and merchandise sales
* Drive end-to-end Machine Learning projects that have a high degree of ambiguity, scale, complexity.
* Build machine learning models, perform proof-of-concept, experiment, optimize, and deploy your models into production; work closely with software engineers to assist in productionizing your ML models.
* Establish scalable, efficient, automated processes for large-scale data analysis, machine-learning model development, model validation and serving.
* Research new and innovative machine learning approaches.
* Promote the culture of experimentation and data science at Amazon
About the team
Our team, CreativeX Optimization, is responsible for personalizing the visual experience of ads in real time
We apply advanced machine learning and generative AI to help advertisers build, identify, and understand what ad creatives work with their audiences. We develop customized CTR and CVR prediction models to help advertisers efficiently connect with shoppers across the web. We develop generative models to understand shopper preferences across text, images, and videos.
We have a broad mandate to experiment and innovate, as we seek to leapfrog the competition and impact billions of impressions daily.
About Amazon
Sourced by ZipRecruiter
Amazon.com, Inc., commonly known as Amazon, is an American multinational technology company. It was founded by Jeff Bezos in 1994 and initially started as an online marketplace for books. Since then, Amazon has expanded its operations and become one of the largest e-commerce companies in the world. Amazon's primary business is its online retail platform, where customers can purchase a vast array of products, including electronics, clothing, books, home goods, and much more. The company offers a convenient and user-friendly shopping experience, with features such as fast shipping, customer reviews, and personalized recommendations. In addition to its e-commerce platform, Amazon has diversified its business into various other areas. One of its notable ventures is Amazon Web Services (AWS), a comprehensive cloud computing platform that provides services such as storage, compute power, and database management to individuals and businesses. AWS has become a leader in the cloud computing industry, powering many websites and applications worldwide. Amazon has also developed its own consumer electronics, including the popular Amazon Kindle e-reader, Fire tablets, Fire TV streaming devices, and the Alexa-powered Echo smart speakers. The Alexa voice assistant, integrated into these devices, allows users to interact with their devices using voice commands, perform tasks, and access information. Furthermore, Amazon has expanded into media and entertainment. It operates Prime Video, a streaming service that offers a wide range of movies, TV shows, and original content. Amazon Music provides a platform for streaming and purchasing digital music, while Audible offers audiobooks and other audio content. The company's commitment to customer satisfaction and convenience is demonstrated by its membership program, Amazon Prime. Prime members receive various benefits, including free two-day shipping, access to streaming services, exclusive deals, and more.
Industry
It services, book publishers, retail, real estate, computer and electronic product manufacturing and software development
Company size
10,000+ Employees
Headquarters location
Seattle, WA, US