Marketing Science Partner

Meta•New York, NY

3d•$130,000 - $193,000

About The Position

This role is part of Meta’s Marketing Science team supporting North America In-Market businesses. It leverages data and science to support client growth on Meta’s platforms through reactive and proactive client work using Meta’s data science tools and datasets. The role drives advertiser measurement by designing experiments, including conversion lift, brand lift, and attribution studies, and conducting analysis and research to help clients understand and improve advertising effectiveness across digital platforms and media. It involves direct engagement with clients and media agencies and collaboration with third parties to set up and conduct studies. The position also calls for an AI-native approach: using AI tools with curiosity, adapting to new workflows, and rethinking work to increase impact. The Marketing Science Partner advises clients on measurement strategy, learning agendas, research methods, and interpretation of findings. The role collaborates with sales, product, partnerships, agencies, and measurement vendors; develops and delivers education; and helps customize and pilot scalable solutions. It also builds AI tools and workflows to improve measurement, attribution, research, and client recommendations, while applying scientific judgment to validate AI outputs and maintain statistical rigor, causality, and responsible use.

Requirements

Bachelor’s degree in a directly related field, or equivalent practical experience.
At least 8 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 building trusted client relationships and leadership experience at an industry level.
Experience communicating technical content to technical and non-technical audiences and influencing at executive levels.
Client-facing experience, internal or external, including driving meetings and/or influencing adoption of new products or research methods.
Experience analyzing and manipulating datasets to identify 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 in an advertising measurement context with sound judgment and attention to detail so AI-augmented output meets client needs.

Nice To Haves

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

Responsibilities

Engage with clients and agencies to share research-based best practices and build and operationalize learning agendas focused on improving business outcomes.
Partner with sales to manage 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.
Design tests using client data and Meta or third-party tools to demonstrate the value of measurement.
Conduct standard and custom ad-effectiveness studies for Meta advertisers to assess the relative impact of marketing strategies across digital platforms and media.
Translate complex or technical research results for general audiences.
Consult with clients and agencies on business hypotheses, measurement design and feasibility, and interpretation of insights.
Operate internal and external education and training workshops to increase awareness and advocacy of measurement solutions and analytical best practices, including auction and lift tools.
Partner with Product and Partnerships teams to customize existing functionality, inform roadmap development, and pilot scalable solutions.
Build AI tools and workflows to facilitate measurement, attribution, and client recommendations and to improve the scale and quality of guidance.
Use AI to improve ad-effectiveness research while ensuring statistical rigor and adherence to principles of causality.
Apply scientific judgment to validate AI outputs before they reach advertisers.
Break down complex, cross-functional client measurement and analytics problems into actionable components, identifying where AI can improve work and where people should lead.