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iSpot.tv

TV ad attribution with real-time analytics

Data Science Intern

Data SciencePosted on Jun 9
Internship · Summer 2026Bellevue, WA, USA

About the Job

Requirements

  • Progress toward a degree in mathematics, economics, statistics, computer science, physics, social sciences, or other quantitative discipline.
  • Relevant work experience is preferred.

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.

Desired Qualifications

  • Technical understanding of machine learning, statistics, data science, and related fields is preferred.
  • Proficiency with Python, R, and/or SQL, and willingness to learn new tools as needed is preferred.
  • Expertise at wrangling data and conducting thorough data analyses is preferred.
  • A pragmatic, team-oriented attitude that builds rapport and earns respect is preferred.
  • Strong communication, writing, and critical thinking skills, and attention to detail are preferred.

About the Company

iSpot.tv

TV ad attribution with real-time analytics

iSpot.tv measures TV advertising effectiveness by linking ads to real-world actions like online activity, store visits, and sales. It collects a catalog of TV ads, airings data, and data from 12 million opt-in Smart TVs to deliver real-time impression and attention metrics through a subscription platform that integrates with a client’s marketing tools. This differs from competitors by providing real-time, outcome-based analytics that connect TV exposure to actual business results, not just impressions, with seamless integrations for planning and optimization. The goal is to help disruptive brands maximize TV ad ROI by tracking outcomes, optimizing campaigns, and aligning TV plans with business objectives.

Company size
201-500
Company stage
Growth Equity (Venture Capital)
Total funding
$382.8M
Headquarters
Bellevue, WA
Founded
2012

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