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Entry Level Data Science Intern Jobs in Seattle, WA

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 push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data ...

iSpot

Data Science Intern

Bellevue, WA · On-site

$35/hr

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 ...

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 push the boundaries on what is measurable in the TV viewing and advertising space. The Research Data ...

Docugami

Data Science PhD Intern

Kirkland, WA

We're now looking for AI, NLP, Machine Learning, Data Science, and Math PhD Interns to work alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

Docugami

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 alongside our world-renowned science and engineering team to create a revolutionary product. We are looking ...

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Entry Level Data Science Intern information

See Seattle, WA salary details

$13

$25

$47

How much do entry level data science intern jobs pay per hour?

As of Jul 13, 2026, the average hourly pay for entry level data science intern in Seattle, WA is $25.61, according to ZipRecruiter salary data. Most workers in this role earn between $19.71 and $27.88 per hour, depending on experience, location, and employer.

What types of projects can an Entry Level Data Science Intern expect to work on, and how are tasks typically assigned?

As an Entry Level Data Science Intern, you can expect to work on a variety of projects such as data cleaning, exploratory data analysis, and assisting with building predictive models under the guidance of senior data scientists. Tasks are typically assigned based on your skill level and learning objectives, often starting with foundational work like preparing datasets or automating routine analyses. You'll regularly collaborate with other interns, data analysts, and engineers, participating in team meetings and code reviews to ensure alignment and progress. This collaborative environment helps you build your technical skills while gaining exposure to real-world business problems.

What does an Entry Level Data Science Intern do?

An Entry Level Data Science Intern assists data science teams by collecting, cleaning, and analyzing data under supervision. Typical tasks include working with spreadsheets, running basic statistical analyses, and helping prepare reports or visualizations. Interns may also support ongoing projects by writing simple code, documenting findings, and learning to use industry-standard tools like Python, SQL, or R. This position is designed to help individuals gain practical experience and develop foundational data science skills.

What are the key skills and qualifications needed to thrive as an Entry Level Data Science Intern, and why are they important?

To thrive as an Entry Level Data Science Intern, you need a solid foundation in statistics, programming (often Python or R), and data analysis, typically supported by coursework or relevant projects. Familiarity with tools like Jupyter Notebook, SQL, and data visualization libraries (e.g., Matplotlib, Seaborn) is commonly expected. Strong problem-solving skills, curiosity, and clear communication help you collaborate and convey insights effectively. These skills enable interns to contribute meaningfully to team projects, learn quickly, and translate data into actionable results.
What are the most commonly searched types of Data Science Intern jobs in Seattle, WA? The most popular types of Data Science Intern jobs in Seattle, WA are:
What are popular job titles related to Entry Level Data Science Intern jobs in Seattle, WA? For Entry Level Data Science Intern jobs in Seattle, WA, the most frequently searched job titles are:
What job categories do people searching Entry Level Data Science Intern jobs in Seattle, WA look for? The top searched job categories for Entry Level Data Science Intern jobs in Seattle, WA are:
Entry Level Data Science Intern jobs near you
Infographic showing various Entry Level Data Science Intern job openings in Seattle, WA as of July 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $53,270 per year, or $25.6 per hour.

Data Science Intern

iSpot

Bellevue, WA • Hybrid

$35/hr

Other

Posted 3 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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