Cross-platform media measurement and audience analytics for TV and digital
Comscore measures digital, TV, and theatrical audiences at scale for media buyers and sellers. The tech stack—Python, Spark, Hadoop, R, SQL—reflects a heavy analytics operation, but the hiring velocity (12 roles in 30 days, mostly sales and mid-level) and pain-point list (client adoption, measurement accuracy, legacy codebase maintenance) suggest the company is in transition: modernizing products while fighting to expand programmatic partnerships and help customers extract value from existing targeting assets.
Comscore is a public media measurement company (NASDAQ: SCOR) headquartered in Reston, VA. It provides third-party audience and advertising effectiveness data across digital, linear TV, over-the-top, and theatrical channels. The platform combines viewership intelligence with audience insights to help media buyers and sellers quantify cross-screen behavior. The company operates a global data footprint and serves mid-market and enterprise media organizations. Active projects focus on cross-platform measurement, digital and TV product enhancements, integration maintenance, and custom research.
Core analytics stack: Python, Apache Spark, Hadoop, R, SQL. Data pipeline and QA: Selenium, Fiddler, Wireshark. Version control: GitHub, Git, Subversion. Client-facing: Salesforce (usage tracking), DSP integrations, React. Infrastructure: AWS, Windows, macOS, Linux.
Comscore is headquartered in Reston, Virginia and employs 1,001–5,000 people. It is a public company trading on NASDAQ under ticker SCOR, founded in 1999.
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