Marketing Science Partner

Meta•New York, NY

3d•$101,000 - $152,000

About The Position

This role is part of Meta’s Marketing Science team supporting North America In-Market businesses. It uses data, research, and science to help clients grow on Meta’s platforms. The Marketing Science Partner works proactively and reactively with clients, applying Meta data science tools and datasets to drive measurement and improve advertising effectiveness across digital platforms and media. The role includes designing experiments and conducting research, engaging directly with clients and media agencies, and collaborating with third parties to set up and run studies. It also calls for an AI-native approach: using AI tools with curiosity and a bias toward experimentation, adapting to new workflows, and applying AI to rethink how work gets done while maintaining scientific rigor and human judgment. The position partners with sales, product, partnerships, clients, agencies, and vendors to develop measurement strategies, interpret findings, and guide client recommendations. It also builds AI tools and workflows to scale measurement, attribution, and recommendations, and validates AI-generated outputs before they reach advertisers.

Requirements

Currently has, or is in the process of obtaining, a bachelor’s degree in a directly related field or equivalent practical experience; the degree must be completed before joining Meta.
At least 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 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 close attention to detail to ensure AI-augmented outputs meet client needs.

Nice To Haves

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

Responsibilities

Engage with clients and agencies to share research-based best practices and develop and operationalize learning agendas focused on improving business outcomes.
Partner with sales to manage a set of accounts and prioritize measurement and analytics strategies 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.
Advise 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.
Partner with Product and Partnerships teams to customize existing functionality, inform roadmap development, and pilot scalable solutions.
Build AI tools and workflows that facilitate measurement, attribution, and client recommendations and improve the scale and quality of guidance.
Use AI to improve ad-effectiveness research while ensuring statistical rigor and adherence to causal principles.
Apply scientific judgment to validate AI outputs before they reach advertisers.
Break client measurement and analytics problems into actionable parts, identifying where AI can improve effectiveness and where people should lead.