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Computer Science Intern Jobs in Seattle, WA (NOW HIRING)

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

What You'll Be Part Of An iSpot Research Data Science Intern is a great opportunity to help iSpot ... Progress toward a degree in mathematics, economics, statistics, computer science, physics, social ...

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Docusign

Product Data Science Intern

Seattle, WA · On-site

As a Data Scientist Intern, you'll dig into the data to uncover insights, identify opportunities ... Currently in the process of obtaining, a Bachelors/MS degree in Computer Science, Information ...

iSpot

Data Science Intern

Bellevue, WA · Hybrid

$35/hr

What You'll Be Part Of An iSpot Research Data Science Intern is a great opportunity to help iSpot ... computer science, physics, social sciences, or other quantitative discipline. ● Relevant work ...

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How much do computer science intern jobs pay per hour?

As of Jun 11, 2026, the average hourly pay for computer science intern in Seattle, WA is $20.94, according to ZipRecruiter salary data. Most workers in this role earn between $16.13 and $25.76 per hour, depending on experience, location, and employer.

What is a Computer Science Intern job?

A Computer Science Intern is a temporary position where students or recent graduates gain hands-on experience in software development, data analysis, cybersecurity, or other computing fields. Interns typically assist with coding, debugging, research, and testing while working under the guidance of experienced professionals. This role helps build technical skills, industry knowledge, and networking opportunities, preparing interns for full-time positions in the tech industry.

What kind of projects and tasks can I expect as a Computer Science Intern?

As a Computer Science Intern, you can expect to work on a variety of tasks such as writing and testing code, debugging software, supporting ongoing development projects, and collaborating on team-based assignments. Interns often contribute to designing features, fixing bugs, conducting research, or assisting in quality assurance under the guidance of senior engineers or mentors. The exact nature of your projects may vary based on the company and team, but you will typically gain hands-on experience with real-world software development tools and workflows. This exposure not only builds your technical skills but also helps you understand agile work environments and best practices, making it a valuable step toward a full-time role in the field.

What are the key skills and qualifications needed to thrive in the Computer Science Intern position, and why are they important?

To thrive as a Computer Science Intern, you need a solid understanding of programming languages (such as Python, Java, or C++), data structures, algorithms, and basic software development principles, typically backed by ongoing coursework in computer science or a related field. Familiarity with version control systems like Git, integrated development environments (IDEs), and sometimes exposure to cloud platforms or coding certifications can be advantageous. Strong analytical thinking, effective communication, initiative, and the ability to work well within a team are valuable soft skills in this role. These skills and qualities ensure that interns can quickly contribute to projects, adapt to new technologies, and collaborate effectively with experienced professionals.

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Computer Science Intern jobs near you

Data Science Intern

iSpot

Bellevue, WA • Hybrid

$35/hr

Other

Posted 2 days ago

Job description

What You'll Be Part Of

An iSpot Research Data Science Intern is a great opportunity to help iSpot push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data Science team builds innovative solutions for iSpot's audience measures, attribution and lift analytics, creative testing, and artificial intelligence implementations. After developing new methodologies and building prototypes, we work with our product and engineering teams to scale our models to satisfy the needs of brands, publishers, networks, and agencies in a constantly evolving marketing landscape.

Potential Responsibilities:

Data Analysis and Modeling: Conduct in-depth data analysis and build advanced statistical models to extract insights from large viewing and demographic datasets.
 Machine Learning Model Development: Develop, train, and deploy state-of-the-art machine learning models to solve a variety of measurement problems.
 Data Pipeline Development: Work with our Engineering teams to design and implement efficient data pipelines to collect, process, and transform data from various sources.
 Research and Innovation: Stay up-to-date with the latest data science techniques, tools, and technologies, and explore novel approaches to solve complex challenges.
 
Qualifications and Education Requirements:
 Progress toward a degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline.
 Relevant work experience is preferred.
 
Preferred Skills:
 Technical understanding of machine learning, statistics, data science, and related fields
 Proficient user in several quantitative software tools, particularly Python, R, and/or SQL; willingness to learn new tools as needed
 Expert at wrangling data and conducting thorough data analyses
 Pragmatic, team-oriented; builds rapport and respect
 Strong communication, writing, and critical thinking skills; attention to detail

Target cash compensation range: $35.00USD/hour

We are committed to providing competitive, market-informed compensation. The cash compensation above includes base salary, variable commission for employees in eligible roles, and annual bonus targets for eligible roles. In addition to cash compensation, all full time iSpotters are eligible to participate in iSpot's equity plan to receive stock options. Non-exempt roles will also be eligible for (pre-approved) overtime pay. Individual compensation packages are influenced by different factors unique to each candidate, including their skills, experience, qualifications and other job-related reasons.

For more information on total rewards package, go HERE

Hybrid & Flexible Workplace Policy

iSpot supports a hybrid and flexible workplace. Depending on location and work responsibilities, employees may be designated as full-time or part-time office-based or a fully remote employee. A hybrid work schedule indicates that you work in the office some days and work from home other days. The best hybrid workplaces allow for flexibility while also encouraging consistency. 

Those local or living in surrounding areas to one of our offices (Bellevue, WA or New York, NY) will work a hybrid schedule, coming into their local office 1-3 days a week. While those in a role, not office-based and located further away from our offices, will work a fully remote schedule. If you have questions regarding exact details of our hybrid & flexible workplace policy, please let your recruiter know and they will discuss with you further.

#LI-Hybrid

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