Job description

Marketing Science's mission is to unlock the full potential of businesses on Meta platforms by transforming advertising performance and industry practices, through the use of data-driven analytical methods. Our Marketing Science Agencies team fulfills this mission for large holding company agencies, global independents, and select large domestic indie agencies. The Marketing Science Agencies team is seeking to recruit a Marketing Science Partner focusing on our Global Agencies portfolio. You'll use your analytical and critical thinking skills, marketing and advertising measurement experience and familiarity with large data sets and data manipulation to drive better outcomes for our clients. As a highly client-facing role, with interactions at the highest levels of our clients' organizations, you'll also leverage your communication and relationship building skills, and your capability to communicate complex concepts simply and succinctly to effectively influence key decision makers. You will own the primary measurement relationship with a small portfolio of agencies. The agencies in the team's portfolio are complex multi-faceted and/or geographically distributed businesses. Successfully influencing these businesses entails developing trusted relationships with HQ teams and developing detailed global strategies, but also translating these strategies into effective regional and local execution in partnership with other Marketing Science teams. This position will likely include an element of international travel (10-20%). Manage a complex set of measurement-related agency relationships, and extract maximum value from these relationships for both the agencies and Meta Drive better measurement practices with agencies by designing global learning agendas and testing programs (A/B tests, conversion and brand lift studies, partner lift studies and so on) and doing research to help agencies understand and improve the effectiveness of their advertising across Meta's platforms and across their wider media portfolio Work with Meta's industry leading measurement tools and measurement partners, to enable measurement practices such as randomized controlled trials-based experimentation, Marketing Mix Modelling and impression-level big data analytics. Where relevant, work with product and/or business engineering teams to identify and deliver relevant product adaptations or enhancements Cultivate cross-functional partnership with internal teams such as Sales, Creative Shop, Business Engineering, and Product Marketing, in order to maximise client benefit and business impact, bridging the gap between measurement and other components of our client engagement strategies Undertake data analysis to identify key impact opportunities, including developing queries to run against Meta's internal data infrastructure Conduct in-depth standard and custom ad effectiveness meta-analyses and research studies to understand the relative impact of different marketing strategies across digital platforms and across media. Communicate these results to both specialist and generalist audiences, including simplification of complex concepts where relevant Provide feedback to and collaborate with Product, R&D, and Partnerships to identify opportunities for new features, products, and partnerships and drive client engagement around measurement innovation, including product alphas and beta Currently has, or is in the process of obtaining a Bachelor's degree in a directly related field, or equivalent practical experience. Degree must be completed prior to joining Meta Bachelor's degree in a directly related field, or equivalent practical experience 5+ years experience scoping and executing research and measurement projects with clients and/or cross-functional stakeholders Experience in analyzing and manipulating data sets to understand patterns and provide insights Demonstrated leadership experience at an industry level and in particular the skill to build trusted relationships with clients Proven experience communicating technical content to all types of audiences, and translating complex and/or technical concepts to make them accessible for business stakeholders Proven knowledge of advertising measurement methods and technologies, especially experimental techniques and MMM Fluency with data querying languages (e.g. SQL) and manipulation tools to work with large data sets Competency in data science-focused programming languages such as R or Python Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Advanced degree in a quantitative field Experience working within or with large global agency holding companies Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)

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Platform: meta
Effort: medium