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 Global Clients and Agencies (GCA) team fulfills this mission for our largest advertisers globally, and the world's largest agency holding companies.The Marketing Science GCA team is actively seeking an exceptional candidate to join as a full-time Marketing Science Partner. We're looking for people with strong analytical and critical thinking skills, deep expertise in marketing and advertising measurement and familiarity with large data sets and data manipulation tools. As a highly client-facing role, with interactions at the highest levels of our clients' organizations, we're also looking for people with excellent communication and relationship building skills, in particular the ability to articulate complex concepts simply and succinctly, and the ability to effectively influence key decision makers. The successful candidate will own the primary measurement relationship with a small portfolio of large global advertisers, global agency holding companies, or potentially a combination of the two. The advertiser and agency clients in the team's portfolio are complex multi-faceted and / or geographically distributed businesses. Successfully influencing these businesses entails developing deep, trusted relationships with HQ teams and developing sophisticated 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%).

　　Marketing Science Partner - Global Clients & Agencies Responsibilities:

　　Manage a complex set of measurement-related advertiser and/or agency relationships, and extract maximum value from these relationships for both the clients and Meta.Drive exceptional measurement practices with advertisers and/or 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 clients 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, open source solutions such as Robyn, 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 strong 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 deep data analysis to identify key impact opportunities, including developing queries to run against Meta's internal data infrastructureConduct 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 betaMinimum Qualifications:

　　Bachelor's degree in a directly related field, or equivalent practical experience.6+ years experience independently scoping and executing research and measurement projects with clients and/or cross-functional stakeholders.Expertise in analyzing and manipulating data sets to understand patterns and provide insights.Demonstrated leadership experience at an industry level and with senior clients, 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.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.Preferred Qualifications:

　　Advanced degree in a quantitative field or an MBAExperience working with large global advertisers and/or agenciesCompetency in data science-focused programming languages such as R or PythonAbout Meta:

　　Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today-beyond the constraints of screens, the limits of distance, and even the rules of physics.

　　Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law. Meta participates in the E-Verify program in certain locations, as required by law. Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.

　　Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at [email protected].