Director, Buyer Science

Are you ready to be a part of an innovative a media company at the leading edge of data-driven innovation? They are redefining media campaigns for the top Entertainment, Consumer & eCommerce brands through scientific strategies and a leading edge platform stack.

As the Director of Buyer Science, you will be front and center as the consultant to executive level clients within top brands, playing a pivotal role in ensuring media campaigns are grounded in scientific principles and optimized by data-driven insights. Your will be to collaborate closely with media strategists and clients, elevating media performance and delivering tangible business value.Responsibilities:

• Develop hyper-scientific media campaign strategies at the cutting edge of the industry.
• Collaborate with media strategists and clients to elevate media performance and drive business value.
• Collaborate with media planners and channel teams to ensure scientific resource allocations.
• Collaborate with the development team to implement technical approaches to media challenges.
• Collaborate with senior leads to develop solutions that work across all teams.
• Work with data scientists to create campaign measurement strategies and experimentation plans.
• Frame analyses, stories, and slides for client media plans and reports.
• Serve as the main client contact for campaign measurement, optimization, and data infrastructure.
• Evaluate and onboard measurement vendors in the industry.
• Drive the adoption of new tools and approaches across the team.
• Educate clients on how modern techniques can optimize business and media KPIs.
• Create best practices decks for the organization and occasionally for clients.

• 8-11 years Data Science or Media Analytics experience within agencies, consulting firms or data platforms
• Experience translating complex data into clear and well supported strategic recommendations
• Proven experience in data-driven media planning, campaign measurement, and optimization.
• Deep understanding of modern analytical techniques, ML models, optimization algorithms, and automation in media campaigns.