Marketing Science Partner - Mid Market NA

Meta•New York, NY

20h•$130,000 - $193,000

About The Position

The Marketing Science Partner unlocks the potential of businesses on Meta platforms by improving advertising performance and industry practices through data-driven analytical methods. The role uses quantitative expertise and strategic problem-solving to develop evidence-based insights and apply machine intelligence across a broad portfolio of clients. It provides strategic guidance to advertisers on measurement, while also creating tools, developing global programs, and identifying opportunities to automate Marketing Science guidance.

Requirements

Bachelor's degree in a directly related field or equivalent practical experience.
At least 8 years of experience in marketing effectiveness, market research, or business intelligence.
Ability to explain complex analytical concepts or problems simply.
Proven experience creating and delivering analytics-based presentations to executive decision-makers.
Experience analyzing and manipulating data sets to identify patterns and provide insights.
Understanding of test design methodologies, including geo-tests, A/B tests, multivariate tests, and randomized controlled trial experiments, along with survey sampling and/or panel data.
Experience developing and improving repeatable processes to make project delivery more efficient.
Experience managing complex projects.

Nice To Haves

Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Master's degree in an analytical field such as Computer Science, Engineering, Mathematics, Statistics, or Economics.
Experience working with structured and unstructured data sets using statistical methods and software such as R, SPSS, or SAS.
Experience implementing responsible and ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Ongoing AI skill development, such as prompt or context engineering and agent orchestration, and keeping current with emerging AI technologies.
Understanding of the advertising landscape.

Responsibilities

Collaborate with Sales, Product, R&D, Business Engineering, Ads Research, Creative Shop, and other cross-functional teams to develop and deliver global measurement programs.
Run internal and external education sessions on measurement best practices.
Assess the impact of programs and initiatives to drive value for Marketing Science, Meta, and advertisers.
Consult with advertisers on business challenges, technology stacks, first-party data availability, and measurement solutions, including marketing mix effectiveness, media allocation, and other measurement questions.
Work with Product and Partnerships stakeholders to adapt core functionalities, guide strategic roadmap prioritization, and test scalable innovations.
Apply analytical expertise to drive new business growth in support of client delivery.
Use AI to scale marketing effectiveness methodologies while maintaining statistical accuracy and foundational causal principles.
Audit and verify automated analytical recommendations with scientific rigor before client delivery.
Analyze client measurement challenges and determine appropriate integration points for machine intelligence versus human-led strategic consulting.