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iSpot.tv Bellevue Hiring: Data Science Intern for $35.00/Hr

On: June 9, 2026 8:52 PM
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iSpot.tv Bellevue Hiring Data Science Intern for $35.00Hr

Are you passionate about data science, analytics, and solving real-world business challenges with data? iSpot.tv is seeking a motivated Data Science Intern to join its innovative team in Bellevue, Washington. This internship offers an excellent opportunity to work alongside experienced data professionals, gain hands-on industry experience, and contribute to projects that influence advertising measurement and media analytics. If you’re eager to develop your technical skills while working in a fast-paced technology environment, this role could be the perfect fit for you.

Job Overview

FieldDetails
Company NameiSpot.tv
RoleData Science Intern
QualificationCurrently pursuing or recently completed a Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field
Job LocationBellevue, Washington, USA
Salary$35.00 per hour
Work TypeHybrid / On-site (as specified by employer)
Job TypeInternship
Job LevelEntry Level / Student
IndustryAdvertising Technology (AdTech), Data Analytics, Software Technology

Job Description

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

Selection Process

  • Application Submission
  • Resume Screening
  • Recruiter/HR Interview
  • Technical Assessment or Case Study
  • Hiring Manager Interview
  • Final Evaluation and Selection
  • Offer Letter

How to Apply

  • Visit the official iSpot.tv careers page.
  • Search for the “Data Science Intern” position in Bellevue.
  • Review the job requirements and responsibilities carefully.
  • Prepare your updated resume and supporting documents.
  • Complete the online application form.
  • Submit your application and wait for communication from the recruitment team.
  • Monitor your email regularly for interview updates and next steps.

P S Karthik

P.S. Karthik is the Chief Editor of Studentscircles. With over 12 years of experience in the educational news industry, he specializes in bridging the gap between campus life and the professional world. Having helped thousands of students navigate the US job market, Karthik’s mission is to turn complex academic news into actionable career opportunities.