Marketing Science Partner

Responsibilities

• Engage with clients and agencies to share research-based best practices and measure true business value by building and operationalizing "learning agendas" that highlight how a client can improve business outcomes
• Partner closely with sales to manage a set of accounts and prioritize measurement and analytics strategy for client engagement
• Support client engagement with third-party vendors responsible for setting up and conducting measurement studies
• Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the "learning agenda."
• Design tests to showcase the power of measurement using client data and Meta or third-party tools
• Conduct in-depth standard and custom ad effectiveness studies for Meta advertisers to understand the relative impact of different marketing strategies across digital platforms and across media
• Translate complex or technical research results for a general audience
• Consult with clients and agencies on business hypotheses to test, measurement design and feasibility and insights interpretation
• Operate internal and external education and training workshops to raise awareness and advocacy of measurement solutions and analytical best practices (auction, use of lift tools)
• Partner with Product and Partnerships teams to customize existing functionalities, inform roadmap development and pilot new, scalable solutions

Requirements

• 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
• 5+ years of consulting, research, or analytics experience using data and numbers to formulate insights
• Direct experience scoping and executing research projects with clients and/or cross-functional stakeholders
• Demonstrated success in building trusted relationships with clients and leadership experience at an industry level
• Experience communicating technical content to all types of audiences (technical and non-technical) and influencing at executive levels
• Client-facing experience (internal or external), including experience driving meetings and/or influencing through adoption of new products or research methods
• Experience analyzing and manipulating datasets to understand patterns and provide insights
• Experience working with large datasets and using SQL or similar tools
• Experience with digital advertising measurement methods and technologies, including field experiments, experimental design, survey sampling, and/or panel data
• Experience applying AI with advertising measurement context and judgement, maintaining high attention to detail for AI-augmented output so that it meets the client needs

Preferred

• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience managing a complex set of client relationships
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Advanced degree in a quantitative field or a Masters of Business Administration
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience working with structured and unstructured data-sets using statistical methods and software such as R, SPSS, SAS