Marketing Science Partner - Performance Marketing empowered by Research, Analytics and AI
Meta · London, England, United Kingdom
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- On site
- Full-time
- $150,000 / year
- London, England, United Kingdom
Job highlights
- Drive business outcomes through performance marketing measurement.
- Utilize Meta's AI and data science tools.
- Design and execute ad effectiveness studies.
- Collaborate with clients, sales, and product teams.
- Apply advanced analytics and research methodologies.
About the role
Marketing Science Partner - Performance Marketing
The Marketing Science team at Meta is actively seeking a full-time Marketing Science Partner with demonstrated experience in Performance Marketing. A Marketing Science Partner at Meta works with internal and external clients in industry verticals such as App tech, E-commerce, Gaming Retail etc. on an ongoing basis to adopt better measurement as a way to improve business outcomes. To accomplish this, the person in this role will work both reactively and proactively with clients, using Meta’s industry leading data science and AI tools and data sets.
Driving good measurement with advertisers will require designing tests to measure incremental lift of marketing activations (conversion lift, brand lift) or tackle complex attribution questions. In this role, the person needs to use data skills to build actionable recommendations to help clients understand and improve the effectiveness of their advertising across digital platforms and across media. The Marketing Science Partner will also focus on customizing existing or, in some cases, piloting new, scalable capabilities in partnership with Meta Product teams, R&D, and Partnerships.
Meta is seeking experienced candidates to join the Marketing Science team with proven analytical and critical thinking skills as well as familiarity with large data sets, Marketing research and data manipulation tools, and familiarity with AI-enabled analytical workflows (or eagerness to rapidly upskill) with foundational working knowledge of modern AI/LLM tools and concepts. To successfully influence how advertisers conduct and use measurement, the person should have a track record of working cross-functionally with internal teams and partner closely with the Sales team.
Responsibilities:
- Engage with clients to share insights & research-based best practices and measure true business value by building and operationalizing “learning agendas”. The best practices and learning agendas will highlight how a client can improve business outcomes.
- Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the recommended solutions.
- Offer selective consultation with clients on business hypothesis to test, measurement design & feasibility, or insights interpretation.
- Design tests to showcase the power of measurement using client data and Meta or third-party technology tools.
- Conduct in-depth standard and custom ad effectiveness studies for Meta advertisers to understand the relative impact of different marketing strategies across digital platforms and across media.
- Operate internal & external education & training workshops to raise awareness & advocacy of Measurement solutions & analytical best practices (understanding auction, creative testing, use of lift tools…).
- Communicate complex research results to a general audience on the client side.
- Work with advertising and industry bodies to create best-in-class measurement solutions.
- Support client engagement with third-party vendors responsible for setting up and conducting measurement studies.
Minimum Qualifications:
- Bachelor’s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, or similar.
- English proficiency is required. Ukrainian or Russian language skills are a significant asset as this team partners with clients in Central and Eastern Europe.
- Direct experience in scoping and executing analytical or research projects with clients and/or cross-functional stakeholders.
- 5+ years of experience analyzing and manipulating data sets to understand patterns and provide insights.
- Proven experience in working with structured and unstructured data-sets; statistical software such as R, SQL is a must.
- Ability to communicate technical content to a general audience.
- Client-facing experience (internal or external), including the ability to drive meetings or change through adoption of new products or research methods.
- Experience with digital advertising measurement methods and technologies.
- Experience with field experiments, experimental design, survey sampling, and/or panel data.
- Proven experience working with app and e-commerce verticals, demonstrating a great understanding of the unique challenges and opportunities within these industries.
Preferred Qualifications:
- AI-native mindset (or eagerness to rapidly upskill) with foundational working knowledge of modern AI/LLM tools and concepts.
About Meta:
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
Individual compensation is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base hourly rate, monthly rate, or annual salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base compensation, Meta offers benefits. Learn more about benefits at Meta.
Key skills/competency:
- Performance Marketing
- Marketing Science
- Data Analysis
- AI/LLM Tools
- Measurement Design
- Client Consulting
- Statistical Software (R, SQL)
- Digital Advertising
- Experimental Design
- E-commerce
Skills & topics
- Marketing Science Partner
- Performance Marketing
- Data Science
- Analytics
- AI
- Machine Learning
- Digital Advertising
- Marketing Research
- Client Relations
- Meta
- E-commerce
- Gaming
- Retail
- SQL
- R
- Experimental Design
- Attribution Modeling
- Lift Studies
How to get hired
- Tailor your resume: Highlight your experience in performance marketing, data analysis, and client-facing roles, using keywords from the Marketing Science Partner job description.
- Showcase analytical skills: Emphasize your proficiency with statistical software like R and SQL, and your experience with large datasets and AI tools.
- Demonstrate client experience: Detail your history of scoping and executing research projects, consulting with clients, and driving adoption of new methodologies.
- Prepare for technical questions: Be ready to discuss your understanding of digital advertising measurement, experimental design, and AI/LLM concepts.
- Research Meta's culture: Understand Meta's mission, values, and focus on connecting people and building the future of social technology.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key responsibilities for a Marketing Science Partner at Meta?
- The Marketing Science Partner at Meta is responsible for driving better measurement to improve business outcomes for clients in various verticals like e-commerce and gaming. This involves designing tests to measure incremental lift, tackling attribution questions, providing actionable recommendations, and customizing or piloting new capabilities in partnership with Meta's product and R&D teams. You'll also conduct ad effectiveness studies and lead educational workshops.
- What technical skills are essential for the Marketing Science Partner role at Meta?
- Essential technical skills include a strong background in data analysis and manipulation, proficiency with statistical software like R and SQL, and experience with large structured and unstructured datasets. Familiarity with modern AI/LLM tools and concepts, digital advertising measurement methods, experimental design, and survey sampling are also crucial. A Bachelor's degree in a quantitative field is required.
- How important is client-facing experience for this Marketing Science Partner position?
- Client-facing experience is very important. The role requires you to engage directly with clients, share insights, consult on business hypotheses, and communicate complex research results to a general audience. You'll also need to drive meetings and influence change through the adoption of new products or research methods, often in close collaboration with the Sales team.
- What is Meta looking for in terms of AI/LLM knowledge for this role?
- Meta is seeking candidates with an AI-native mindset or a strong eagerness to rapidly upskill in AI/LLM tools and concepts. While foundational working knowledge is required, the emphasis is on the ability and willingness to learn and apply these modern AI technologies within analytical workflows.
- Are there specific industry verticals that this Marketing Science Partner role focuses on?
- Yes, this role works with clients across various industry verticals, including App tech, E-commerce, Gaming, and Retail. Proven experience working with app and e-commerce verticals is particularly valued, indicating a deep understanding of their unique challenges and opportunities.
- What are the benefits of working as a Marketing Science Partner at Meta?
- Working at Meta offers the chance to shape the future of social technology and build cutting-edge products. You'll work with industry-leading data science and AI tools, collaborate with a dynamic team, and have opportunities for growth and learning. Meta also offers comprehensive benefits beyond base compensation.