1

Facebook Marketing Science Partner Jobs (NOW HIRING)

Reporting into our Marketing Science Lead, you'll partner closely with a Marketing Data Scientist, who owns model configuration and statistical rigor for MMM and incrementality testing. Your focus ...

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 ...

As a Marketing Science Intern, you will... * Learn about the omnichannel advertising landscape ... Facebook, Google, Instagram, Pinterest, Snap, and TikTok. Our end-to-end technology, unmatched ...

Director, Marketing Science

Chicago, IL · On-site

$140K - $160K/yr

Powered by the Omni marketing orchestration system, OM connects best-in-class capabilities that ... Partner with the Planning, Investment, and Activation teams on annual budget setting, media plan ...

next page

Showing results 1-20

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 9, 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:
Infographic showing various Facebook Marketing Science Partner job openings in the United States as of June 2026, with employment types broken down into 59% Full Time, 33% Part Time, and 8% Contract. Highlights an 100% In-person job distribution, with an average salary of $61,414 per year, or $29.5 per hour.
Marketing Science Strategic Analyst, Marketing Science and Technology

Marketing Science Strategic Analyst, Marketing Science and Technology

LinkedIn

New York, NY • On-site

Full-time

Posted 15 days ago


Job description

Company Description
LinkedIn is the world's largest professional network, built to create economic opportunity for every member of the global workforce. Our products help people make powerful connections, discover exciting opportunities, build necessary skills, and gain valuable insights every day. We're also committed to providing transformational opportunities for our own employees by investing in their growth. We aspire to create a culture that's built on trust, care, inclusion, and fun - where everyone can succeed.
Join us to transform the way the world works.
Job Description
This position can be performed in New York City, Chicago, or San Francisco depending upon which location the applicant chosen for the role is currently residing.
At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team.
At LinkedIn we believe that marketing is what accelerates business growth and that nearly all the levers of business growth are driven by marketing. Because of this, we are passionate about helping marketers unlock growth for their companies and seeing them thrive. We work with our customers to empower them to make more effective marketing and business decisions with insights leveraging one of the richest proprietary data sets in the world.
Join us in advancing our vision to create economic opportunity for every member of the global workforce by helping organizations thrive and grow through marketing excellence. The LinkedIn Marketing Solutions (LMS) Marketing Science and Technology team is seeking a dynamic, visionary Strategic Analyst with a strong technical background and proven expertise in insights, marketing analytics and measurement innovations to join our global team of marketing measurement and insights experts. This team is responsible for developing and scaling leading-edge marketing measurement and insights solutions to support our LMS sales teams with deepening strategic relationships with our customers and driving commercial outcomes powered by the experiences of LinkedIn's 1B+ members spanning over 200 countries and territories.
As a Strategic Analyst, you'll be at the forefront of providing data driven insight and driving measurement excellence for our clients and agency partners. Partnering across sales, product, and marketing, you will lead the adoption of advanced analytics and measurement strategies, harnessing industry-leading data to unlock actionable insights and maximize advertising impact across digital platforms.
Responsibilities:
  • Client Leadership: Partner closely with Sales to translate data-driven insights and measurement into actionable strategies that improve business performance for our clients and agency partners
  • Insights & Influence: Synthesize complex data into clear, actionable recommendations for senior technical and non-technical stakeholders
  • Measurement Strategy & Execution: Design and lead advanced measurement initiatives (experimentation, incrementality, attribution, clean rooms) to optimize marketing performance
  • Advanced Analytics: Apply SQL, Python, and visualization to analyze LinkedIn and third-party data at scale
  • Innovation & Product Influence: Advise cross-functional partners to identify innovation opportunities including, but not limited to new product features, measurement capabilities, and go-to-market strategies.
  • Thought Leadership: Drive POV on the future of B2B measurement and represent the company externally
  • Project Delivery: Lead end-to-end delivery of complex, custom projects
  • Data Governance: Uphold best practices in data privacy, security, and coding standards

Qualifications
Basic Qualifications
  • 8+ years' experience in analytics, marketing science, measurement, or consulting, with direct client-facing leadership.
  • 5+ years' experience using SQL or similar querying language
  • 5+ years' experience in a consultative or advisory role
  • 3+ years' experience in project or program management
  • Bachelor's degree in quantitative field (e.g., Statistics, Data Science, Economics, Engineering, Mathematics or related analytic field).

Preferred Qualifications
  • 10+ years analytics, marketing science, measurement, or consulting, with direct client-facing leadership.
  • 6+ years' experience using SQL or similar querying language
  • 6+ years' experience in a consultative or advisory role
  • 4+ years' experience in project or program management
  • Experience in digital marketing and AdTech ecosystems, including agency landscape
  • Demonstrated expertise in measurement methodologies (e.g. incrementality, attribution, MMM, experimentation, CAPI)
  • Experience working with large-scale datasets and advanced analytics tools
  • Experience applying AI / LLM techniques in analytics workflows

Suggested Skills
  • Digital and Performance Marketing
  • Stakeholder Management
  • SQL/Python
  • Consulting

LinkedIn is committed to fair and equitable compensation practices.
The pay range for this role is $126,000 to $204,000. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to skill set, depth of experience, certifications, and specific work location. This may be different in other locations due to differences in the cost of labor.
The total compensation package for this position may also include annual performance bonus, stock, benefits and/or other applicable incentive compensation plans. For more information, visit https://careers.linkedin.com/benefits.
Additional Information
Equal Opportunity Statement
We seek candidates with a wide range of perspectives and backgrounds and we are proud to be an equal opportunity employer. LinkedIn considers qualified applicants without regard to race, color, religion, creed, gender, national origin, age, disability, veteran status, marital status, pregnancy, sex, gender expression or identity, sexual orientation, citizenship, or any other legally protected class.
LinkedIn is committed to offering an inclusive and accessible experience for all job seekers, including individuals with disabilities. Our goal is to foster an inclusive and accessible workplace where everyone has the opportunity to be successful.
If you need a Reasonable Accommodation to search for a job opening, apply for a position, or participate in the interview process, connect with us and describe the specific Accommodation requested for a disability-related limitation.
Fill out an Accommodation request here: https://app.smartsheet.com/b/form/b660a0327d044969abfd7a4e73d15c36
Reasonable accommodations are modifications or adjustments to the application or hiring process that would enable you to fully participate in that process. Examples of reasonable accommodations include but are not limited to:
  • Documents in alternate formats or read aloud to you
  • Having interviews in an accessible location
  • Being accompanied by a service dog
  • Having a sign language interpreter present for the interview

A request for an accommodation will be responded to within three business days. However, non-disability related requests, such as following up on an application, will not receive a response.
LinkedIn will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by LinkedIn, or (c) consistent with LinkedIn's legal duty to furnish information.
San Francisco Fair Chance Ordinance
Pursuant to the San Francisco Fair Chance Ordinance, LinkedIn will consider for employment qualified applicants with arrest and conviction records.
Pay Transparency Policy Statement
As a federal contractor, LinkedIn follows the Pay Transparency and non-discrimination provisions described at this link: https://lnkd.in/paytransparency.
Global Data Privacy Notice for Job Candidates
Please follow this link to access the document that provides transparency around the way in which LinkedIn handles personal data of employees and job applicants: https://legal.linkedin.com/candidate-portal.