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Entry Level Computer Science Environmental Jobs in Seattle, WA

ROLE Entry-Level Quantitative Researchers are responsible for conducting rigorous quantitative ... S. or PhD in finance, economics, mathematics, statistics, data science, computer science, or other ...

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

... environment. * Training in deep learning approaches and natural language processing * Advanced ... Computer Science with coursework in Machine Learning, Deep Learning, and Natural Language ...

Bachelor's degree in Biology, Computer Science, Informatics, or related field * Technical knowledge ... Fieldwork experience; an understanding of the challenges imposed by a fieldwork environment Project ...

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Entry Level Computer Science Environmental information

See Seattle, WA salary details

$14

$25

$39

How much do entry level computer science environmental jobs pay per hour?

As of Sep 6, 2026, the average hourly pay for entry level computer science environmental in Seattle, WA is $25.04, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $28.70 per hour, depending on experience, location, and employer.

What is an entry level computer science environmental job?

Entry level computer science environmental jobs are positions that combine foundational computer science skills with a focus on environmental issues. These roles may include tasks such as data analysis for climate research, developing software tools for environmental monitoring, or working on sustainability projects that leverage technology. Often, such positions are found in government agencies, non-profits, research institutions, or private companies with environmental initiatives. Typical job titles might include environmental data analyst, GIS technician, or software developer for environmental applications. These roles are ideal for recent graduates looking to start a career at the intersection of technology and environmental science.

What are the key skills and qualifications needed to thrive as an entry level computer science environmental professional?

To thrive as an Entry Level Computer Science Environmental professional, you need a bachelor's degree in computer science, environmental science, or a related field, along with foundational knowledge in programming and environmental data analysis. Familiarity with tools such as GIS software, Python or R for data modeling, and environmental databases is typically required. Strong analytical thinking, attention to detail, and effective communication skills are important soft skills for collaborating on multidisciplinary projects and interpreting data. These abilities enable professionals to develop technology-driven solutions for environmental challenges, ensuring accurate data management and impactful results.

What are some typical projects an entry level computer science environmental professional might work on?

As an entry-level computer science professional in the environmental sector, you may work on projects such as developing data collection and analysis tools for monitoring air or water quality, automating environmental data processing workflows, or assisting in the creation of web dashboards for visualizing climate or pollution data. You’ll often collaborate with environmental scientists, engineers, and policy experts to ensure your technical solutions align with real-world environmental goals. These roles provide excellent opportunities to gain experience in both software development and environmental science, setting a strong foundation for career growth.

What is the difference between Entry Level Computer Science Environmental vs Entry Level Data Analyst?

AspectEntry Level Computer Science EnvironmentalEntry Level Data Analyst
Required CredentialsBachelor's in Computer Science, Environmental Science, or related fieldsBachelor's in Statistics, Mathematics, or related fields
Work EnvironmentEnvironmental agencies, tech firms focusing on environmental data, research labsBusiness, finance, healthcare, and tech companies analyzing data
Industry UsageEnvironmental monitoring, conservation projects, tech solutions for environmental issuesData-driven decision making across various industries

Entry Level Computer Science Environmental roles focus on applying computer science skills to environmental issues, often involving data collection and analysis related to environmental factors. Entry Level Data Analysts primarily analyze data to support business decisions across multiple industries. While both roles require strong analytical skills and a background in relevant fields, their focus areas and typical employers differ significantly.

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

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

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

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

What cities near Seattle, WA are hiring for Entry Level Computer Science Environmental jobs?

Cities near Seattle, WA with the most Entry Level Computer Science Environmental job openings:

Infographic showing various Entry Level Computer Science Environmental job openings in Seattle, WA as of August 2026, with employment types broken down into 40% Full Time, 50% Part Time, and 10% Temporary. Highlights an 100% In-person job distribution, with an average salary of $52,076 per year, or $25 per hour.

Robotics - Data Science Intern / Co-op - 2026

SupportFinity™

Seattle, WA • On-site

$108 - $160/hr

Other

Medical, Retirement

Posted 19 days ago


Key responsibilities

  • Design and implement solutions for complex problems in robotics and data science.

  • Collaborate with research and robotics teams to design experiments, research algorithms, and improve analytics.

  • Partner with technology and product teams to solve business problems using scientific approaches.


Job description

Robotics - Data Science Intern / Co-op - 2026

Amazon |

Amazon | Posted Mar 9

Full-time

Seattle

Entry (0-2 yrs)

Description

Are you passionate about data science? Do you want to solve real customer problems through innovative technology? Do you enjoy working on scalable research and projects in a collaborative team environment? Do you want to see your science solutions directly impact millions of customers worldwide?

At Amazon, we hire the best minds in technology to innovate and build on behalf of our customers. Customer obsession is part of our company DNA, which has made us one of the world’s most beloved brands.

We’re looking for current Master's and PhD students with a passion for robotic research and applications to join us as Robotics Data Scientist Intern/Co-ops in 2026 to shape the future of robotics and automation at an unprecedented scale across. For these positions, our Robotics teams at Amazon are looking for students with a specialization in one or more of the research areas such as robotics, data science, computer vision, large language models, visual language models, statistics, machine learning, causal inference, deep learning, artificial intelligence, applied generative AI, operations research, data analysis, predictive modeling, and more!

We’re looking for curious minds who think big and want to define tomorrow's technology. At Amazon, you'll grow into the high-impact engineer you know you can be, supported by a culture of learning and mentorship. Every day brings exciting new challenges and opportunities for personal growth.

By applying to this role, you will be considered for Robotics Data Science Intern/Co-op (2026) opportunities across various Robotics teams at Amazon with different robotics research focus, with internship positions available for multiple locations, durations (3 to 6+ months), and year-round start dates (winter, spring, summer, fall).

Amazon intern and co‑op roles follow the same internship structure. "Intern/Internship" wording refers to both interns and co‑ops. Amazon internships across all seasons are full‑time positions, and interns should expect to work in office, Monday-Friday, up to 40 hours per week typically between 8am-5pm. Specific team norms around working hours will be communicated by your manager. Interns should not have conflicts such as classes or other employment during the Amazon work‑day. Applicants should have a minimum of one quarter/semester/trimester remaining in their studies after their internship concludes.

The robotics internship join dates, length, location, and prospective team will be finalized at the time of any applicable job offers. In your application, you will be able to provide your preference of research interests, start dates, internship duration, and location. While your preference will be taken into consideration, we cannot guarantee that we can meet your selection based on several factors including but not limited to the internship availability and business needs of this role.

Key job responsibilities
  • Design and implement state-of-the-art solutions for never-before-solved problems.
  • Collaborate closely with other research and robotics experts to design and run experiments, research new algorithms, and find new ways to improve Amazon Robotics analytics to optimize the Customer experience.
  • Partner with technology and product leaders to solve business problems using scientific approaches.
  • Build new tools and invent business insights that surprise and delight our customers.
  • Work to quantify system performance at scale, and to expand the breadth and depth of our analysis to increase the ability of software components and warehouse processes.
  • Work to evolve our library of key performance indicators and construct experiments that efficiently root cause emergent behaviors.
  • Engage with software development teams and warehouse design engineers to drive the evolution of the Amazon Robotics system, as well as the simulation engine that supports our work.
About The Team

https://www.aboutamazon.com/news/operations/amazon-robotics-robots-fulfillment-center

https://www.aboutamazon.com/news/operations/amazon-million-robots-ai-foundation-model

Basic Qualifications
  • Are 18 years of age or older
  • Currently enrolled in a Master's or PhD program in Data Science, Mathematics, Statistics, Computer Science, Robotics, Engineering, Machine Learning, Computer Vision, Operations Research, Mathematics, Economics, Computer Science or a related quantitative field
  • Must be eligible for and available for full‑time (40 hours per week) internship based out of the assigned office location for the whole duration of the internship/co‑op
  • At least 1 year of relevant academic research or industry experience within relevant science disciplines such as Machine Learning, Applied Statistics, Computer Vision, Optimization, or related At least 1 year of experience working as a data scientist or a similar role involving data extraction, analysis, statistical modeling, and communication
  • At least 1 year of experience using data querying languages (e.g. SQL), scripting languages (e.g. Python), or statistical/mathematical software (e.g. R, SAS, Matlab, etc.)
Preferred Qualifications
  • Demonstrable track record of dealing well with ambiguity, prioritizing needs, and delivering results in a dynamic environment
  • Excellent communication skills with ability to explain complex technical concepts to non‑technical audience, while also efficiently interacting with deeply technical peers
  • Understanding of data engineering and business intelligence
  • Quantitative and qualitative data analysis experience with demonstrated impact to a business, a track record of creative problem solving, and the desire to create and build new processes
  • Knowledge of professional software engineering practices & best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations Experience with Natural language processing (NLP) and working with large language models
  • Experience with causal inference modeling
  • Experience with A/B testing and data wrangling

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn't listed, please contact your Recruiting Partner.

The starting pay for this position is listed below. Final starting pay will be based on factors including experience, qualifications, and location. Starting Day 1 of employment, Amazon offers EAP, Mental Health Support, Medical Advice Line, 401(k) matching. Learn more about our benefits at https://hiring.amazon.com/why-amazon/benefits.

USA, MA, N.Reading - 108,300.00 - 160,000.00 USD annually

USA, MA, North Reading - 108,300.00 - 160,000.00 USD annually

USA, MA, WESTBORO - 108,300.00 - 160,000.00 USD annually

USA, MA, WESTBOROUGH - 108,300.00 - 160,000.00 USD annually

USA, MA, Westboro - 108,300.00 - 160,000.00 USD annually

USA, MA, Westborough - 108,300.00 - 160,000.00 USD annually

USA, WA, BELLEVUE - 108,300.00 - 160,000.00 USD annually

USA, WA, Bellevue - 108,300.00 - 160,000.00 USD annually

USA, WA, SEATTLE - 108,300.00 - 160,000.00 USD annually

USA, WA, Seattle - 108,300.00 - 160,000.00 USD annually

Company

Amazon.com Services LLC

About the company

Amazon

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