Data Scientist, Broadcast

This is a fully remote position, open to applicants in Arizona, +12 more states.

📋 Description

• Create and uphold measurement frameworks and statistical models that assess viewership, engagement, as well as brand and sponsor exposure across both broadcast and streaming platforms.

• Develop methods for causal inference and machine learning to measure outcomes and ad impact.

• Validate models using real-world data and document methodologies to ensure results can be defended to clients.

• Collaborate with the broadcast product and computer vision teams to establish and enhance detection quality and audience metrics.

• Construct cross-platform identity, reach, frequency, and attribution methods to eliminate audience duplication across various screens.

• Oversee measurement accuracy and initiate enhancements in partnership with engineering and product teams.

• Develop and sustain large-scale data pipelines and analyses focused on broadcast and streaming data.

• Convert intricate analytical outputs into clear KPIs, narratives, and visual representations for product, sales, and clients.

• Examine trends in viewership and sponsorship metrics to identify opportunities and gaps.

• Collaborate with product and go-to-market teams to establish KPIs and influence how Zoomph presents its broadcast measurement.

• Support sales and customer success teams regarding measurement methodology through comprehensive documentation.

⛳️ Requirements

• Bachelor's or Master's degree in Statistics, Computer Science, Data Science, or a closely related quantitative field.

• 3-5+ years of practical experience in data science or advanced analytics within the media, broadcast, or ad-tech sectors.

• Expertise in Python and/or R, along with experience in SQL and cloud data platforms (AWS, GCP, or Azure).

• Familiarity with statistical modeling, causal inference, or machine learning as applied to audience or campaign data.

• Excellent communication skills, capable of translating analytical insights into actionable business recommendations.

• Experience with methodologies for cross-screen or TV viewership measurement is highly preferred.

• Knowledge of media attribution, reach/frequency modeling, or TV ad impact measurement is preferred.

• Background in identity graph analytics or cross-platform audience deduplication is preferred.

• Previous experience at a media measurement, streaming analytics, or sports data company is a strong advantage.

🏝️ Benefits

• Competitive salary and performance-based bonuses.

• Comprehensive health, dental, and vision insurance.

• Flexible work hours and remote work opportunities.

• Professional development and training programs.

• Engaging company culture with team-building activities.