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Facebook Marketing Science Partner Jobs (NOW HIRING)

Marketing Scientist

New York, NY · On-site

$198K - $230K/yr

In support of that mission, the Marketing team helps deeply understand customer audiences and ... Collaborate across Product, Engineering, Data Science, and Partnerships to translate advertiser ...

Marketing Science Contingent Worker * Key Responsibilities * Own measurement strategy, operations ... Partner with Sales, Product, and Product Marketing to evaluate and improve ad products using ...

Marketing Science Lead

New York, NY · On-site

$180K - $275K/yr

About the Role Agentio is seeking a Marketing Science Lead to establish our measurement practice as ... Partner with the most sophisticated marketers in the world (e.g., Uber, DoorDash, Mint Mobile) to ...

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Facebook Marketing Science Partner information

See salary details

$11K

$61.4K

$79.5K

How much do facebook marketing science partner jobs pay per year?

As of Jun 30, 2026, the average yearly pay for facebook marketing science partner in the United States is $61,414.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,000.00 and $72,000.00 per year, depending on experience, location, and employer.

What is the difference between Facebook Marketing Science Partner vs Facebook Ads Specialist?

AspectFacebook Marketing Science PartnerFacebook Ads Specialist
CredentialsExpertise in marketing analytics, data science, and Facebook advertising toolsKnowledge of Facebook Ads Manager, campaign setup, and optimization
Work EnvironmentCollaborates with brands, agencies, and data providers on strategic campaignsManages individual or small business ad campaigns within Facebook Ads Manager
Employer & Industry UsageTypically employed by agencies, platforms, or as consultants in digital marketingHired by businesses or clients to run Facebook ad campaigns

The Facebook Marketing Science Partner focuses on advanced analytics, data-driven strategies, and high-level campaign insights, often working with large clients or agencies. In contrast, a Facebook Ads Specialist handles day-to-day ad management, targeting, and optimization for individual campaigns. Both roles require familiarity with Facebook advertising tools but differ in scope and expertise level.

How does a Facebook Marketing Science Partner typically collaborate with clients and internal teams to drive campaign effectiveness?

As a Facebook Marketing Science Partner, you play a crucial role in bridging the gap between clients and Meta's internal teams by providing data-driven insights to optimize marketing strategies. You will work closely with clients to understand their business goals, design robust measurement frameworks, and interpret campaign results. Collaboration often involves partnering with cross-functional teams such as account management, product, and engineering to deliver actionable recommendations and test new solutions. This role requires excellent communication skills, as you'll often translate complex analytics into clear, strategic guidance for both technical and non-technical stakeholders. The collaborative nature of the role fosters continuous learning and offers opportunities for career advancement within analytics, client strategy, or product development.

What is a Facebook Marketing Science Partner?

A Facebook Marketing Science Partner is a specialist or agency recognized by Meta (formerly Facebook) for their expertise in data analytics, measurement, and marketing effectiveness on Facebook’s platforms. These partners help businesses understand and improve the impact of their advertising through advanced data analysis, experiments, and insights. They use tools and methodologies approved by Meta to provide objective, actionable recommendations that drive better marketing outcomes. Their work often involves collaboration with brands, agencies, and Meta teams to optimize campaigns and measure return on investment (ROI).

What are the key skills and qualifications needed to thrive as a Facebook Marketing Science Partner, and why are they important?

To thrive as a Facebook Marketing Science Partner, you need deep expertise in data analytics, marketing measurement, and statistical modeling, typically supported by a degree in a quantitative field. Familiarity with tools such as SQL, Python or R, ad tech platforms, and Facebook's proprietary analytics systems is essential. Strong communication, problem-solving, and client management skills help translate complex data into actionable insights for partners. These abilities are crucial for driving marketing effectiveness, optimizing campaigns, and building trusted relationships with clients.
More about Facebook Marketing Science Partner jobs
What cities are hiring for Facebook Marketing Science Partner jobs? Cities with the most Facebook Marketing Science Partner job openings:
What job categories do people searching Facebook Marketing Science Partner jobs look for? The top searched job categories for Facebook Marketing Science Partner jobs are:
Infographic showing various Facebook Marketing Science Partner job openings in the United States as of June 2026, with employment types broken down into 2% As Needed, 82% Full Time, 2% Part Time, and 14% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $61,414 per year, or $29.5 per hour.
Marketing Scientist

Marketing Scientist

OpenAI

New York, NY • On-site

$198K - $230K/yr

Full-time

Posted 6 days ago


Key responsibilities

  • Partner with Sales, advertisers, and agencies to shape learning agendas, interpret results, and improve media performance.

  • Apply advertising measurement approaches across attribution, incrementality, marketing mix modeling, and other relevant methodologies.

  • Develop scalable measurement programs and guidance that improve decisions and adoption of rigorous measurement practices.


Job description

About the Team
OpenAI's mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Marketing team helps deeply understand customer audiences and market dynamics, influence the development of the right products, build sustainable and customer-aligned monetization models, and drive awareness, adoption, and usage across OpenAI's products and platform.
We take a data-driven approach to understand markets, develop monetization strategies, and uncover customer needs that shape product strategy and messaging. We partner closely with Sales, Partnerships, Product, Engineering, Research, Comms, and Design to deliver a cohesive end-to-end customer experience and lead go-to-market efforts for new product launches across channels.
About the Role
We're looking for a Marketing Scientist to join OpenAI's Ads Marketing Science function. Reporting to Marketing Science leadership, you'll be a senior individual contributor who combines rigorous measurement expertise with strong client judgment and hands-on execution.
Your mission is to help OpenAI Ads prove and improve advertisers' media performance. You'll work with sales, partners, and clients supporting all forms of measurement including verification, attribution, incrementality, brand, visitation, marketing mix modeling (MMM), and scalable advertiser reporting, connecting sound methodology to decisions advertisers can act on.
This New York or San Francisco based role will partner closely with Sales on key advertising accounts and with Product, Engineering, Data Science, Partnerships, Legal, and Privacy. Initial priorities include advancing incrementality measurement, helping onboard measurement partners to OpenAI's data interfaces, and creating reusable programs, tools, agents, skills, and workflows that let sales and clients access high-quality Marketing Science support at scale.
In this role you will:
  • Partner with Sales, advertisers, and agencies to shape learning agendas, interpret results, and improve media performance.
  • Apply rigorous advertising measurement approaches across attribution, incrementality, marketing mix modeling, and other relevant methodologies.
  • Develop scalable measurement programs and guidance that improve decisions and adoption of rigorous measurement practices.
  • Collaborate across Product, Engineering, Data Science, and Partnerships to translate advertiser needs into durable measurement capabilities.
  • Work effectively with measurement partners and industry stakeholders to support advertiser adoption and strengthen trust in OpenAI Ads.
  • Communicate complex concepts clearly and uphold high standards for privacy, quality, transparency, and responsible interpretation.

You will thrive in this role if you:
  • Have deep expertise (10+ years) in advertising measurement, including experimentation, incrementality testing, attribution, and econometric approaches such as MMM.
  • Are a hands-on senior individual contributor who works directly with large datasets using SQL, Python or R, and AI-enabled analytical workflows, without sacrificing rigor or judgment.
  • Are a trusted client advisor who can navigate sophisticated advertiser questions, measurement discrepancies, and executive conversations with clarity and sound judgment.
  • Have designed or operated lift and incrementality programs, including experiment design, power analysis, governance, diagnostics, and statistical quality standards.
  • Bring experience with third-party measurement providers, partner onboarding, APIs or data integrations, and translating partner needs into practical product requirements.
  • Have partnered effectively with Product, Engineering, and Data Science to turn measurement methodology into scalable tools, reporting, or platform capabilities.
  • Can translate complex statistical concepts into practical decisions for both technical and non-technical audiences.
  • Thrive in fast-paced, high-ambiguity environments and can influence across teams without relying on formal authority.
  • Care deeply about privacy-forward, trustworthy measurement that helps advertisers understand, prove, and improve media performance.

About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI's Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.