Data Scientist, Broadcast

Job not on LinkedIn

🕒 July 2

🌵 Arizona, California, +11 more states – Remote

🌵 Arizona – Remote 🏄 California – Remote 🦌 Connecticut – Remote 🌽 Illinois – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🏰 Missouri – Remote 🌴 South Carolina – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote

💵 $130k - $150k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

📊 Data Scientist

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Zoomph

WebsiteLinkedInAll Job Openings

11 - 50 employees

📣 Marketing

💰 $1.7M Seed Round on 2017-01

Marketing • Analytics • Broadcasting

Zoomph is a company that specializes in advanced analytics for social media and broadcasting. They provide comprehensive viewership insights, allowing partners to measure engagement and make informed decisions across different platforms. Zoomph sets the standard for broadcasting data and measurement, offering minute-by-minute analysis, national and local coverage, and logo detection technology. They deliver real-time social media performance and partnership data for major platforms like Instagram and Facebook, and offer detailed audience insights to identify partnership opportunities. Zoomph is well-recognized in the sports industry, providing data-driven reports for leagues, teams, and brands.

📋 Description

• Design and maintain measurement frameworks and statistical models that quantify viewership, engagement, and brand and sponsor exposure across broadcast and streaming. • Develop causal inference and machine learning methods for outcome and ad-impact measurement. • Validate models against real-world data and document methodology so results are defensible to clients. • Partner with the broadcast product and computer vision teams to define and improve detection-quality and audience metrics. • Build cross-platform identity, reach, frequency, and attribution methods that deduplicate audiences across screens. • Monitor measurement accuracy and drive improvements with engineering and product. • Build and maintain large-scale data pipelines and analyses on broadcast and streaming data. • Translate complex analytical output into clear KPIs, narratives, and visualizations for product, sales, and clients. • Analyze trends in viewership and sponsorship measurement to surface opportunities and gaps. • Work with product and go-to-market teams to define KPIs and shape how Zoomph positions its broadcast measurement. • Enable sales and customer success on measurement methodology through clear documentation.

🎯 Requirements

• Bachelor's or Master's degree in Statistics, Computer Science, Data Science, or a related quantitative field. • 3-5+ years of hands-on data science or advanced analytics experience in media, broadcast, or ad-tech. • Proficiency in Python and/or R, with experience in SQL and cloud data platforms (AWS, GCP, or Azure). • Experience with statistical modeling, causal inference, or machine learning applied to audience or campaign data. • Strong communication skills, with the ability to translate analytical findings into business recommendations. • Experience with cross-screen or TV viewership measurement methodologies is strongly preferred. • Familiarity with media attribution, reach/frequency modeling, or TV ad impact measurement is preferred. • Background in identity graph analytics or cross-platform audience deduplication is preferred. • Prior work at a media measurement, streaming analytics, or sports data company is a strong plus.