Marketing Science Partner

• Partner with Meta sales team to drive meaningful, strategic relationships with Meta’s clients through measurement and 'learning agendas' that highlight how a client can improve business outcomes by employing better measurement techniques
• Manage a complex set of client relationships across industry and client groups, functions, brands, agencies, to drive clients measurement objectives
• Conduct in-depth custom analysis and ad effectiveness studies to understand the relative impact of different marketing strategies across digital platforms and across media
• Communicate complex research results to business/non-technical audience
• Derive insights and measurement proof points for the region and work with marketing teams to take them to market
• Educate clients, agencies and the industry on Meta’s measurement and research capabilities
• Provide feedback to and collaborate with cross-functional teams such as Product and R&D to identify opportunities for new features, products and partnerships and drive client engagement around measurement innovation, including products alphas and beta

• 3-5 years experience analysing and manipulating data sets to understand patterns and provide client insights using SQL/R/Python
• Bachelor's degree or equivalent required, an advanced degree in statistics, economics, behavioral or social science or a related quantitative degree preferred
• Proven verbal and written communication skills with ability to work cross-functionally and influence clients
• Direct experience converting business problems into hypothesis that can be proven with data
• Direct experience independently scoping and executing analytical projects from start to finish
• Knowledge of statistical or machine learning concepts such as experiment design, hypothesis testing, regression, classification models etc
• Client-facing experience, including experience driving change through adoption of new products or research methods
• Interpersonal skills with demonstrated ability to communicate technical content to non-technical audiences

Good understanding of the advertising industry (especially online) and measurement methods/technologies most commonly used (e.g. attribution)