Marketing Science Partner, South East Asia
Meta · Singapore
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- On site
- Full-time
- $120,000 / year
- Singapore
Job highlights
- Drive measurement and ROI for Meta's clients.
- Develop client relationships and adoption of measurement.
- Conduct custom analysis and ad effectiveness studies.
- Communicate complex results to non-technical audiences.
- Collaborate with product teams on measurement innovation.
About the role
Marketing Science Partner, South East Asia
The Marketing Science team is charged with driving good measurement, demonstrating the ROI/value of the platform, developing best practices and informing product development. The Marketing Science Partner, South East Asia will work with internal and external stakeholders to advise clients and the industry on measurement strategy and work with them on an ongoing basis to adopt better measurement as a way to improve business performance.We are seeking a highly quantitative measurement professional with direct response/performance market experience to drive the Meta measurement and vertical strategy in South East Asia. We're looking for people with performance marketing and critical thinking skills to successfully influence how clients, agencies and the wider industry conduct and use measurement.The Marketing Science Partner, SEA role involves developing client relationships, engaging with and influencing key clients in the region. They will be responsible for working with client teams in designing tests and analysing data sets to help understand and improve the effectiveness of their advertising across digital platforms and across media from a direct response and brand perspective.
Marketing Science Partner, South East Asia Responsibilities:
- Partner with Meta sales team to drive meaningful, strategic relationships with Meta’s clients through measurement and 'learning agendas' that highlight how a client can improve business outcomes by employing better measurement techniques
- Manage a complex set of client relationships across industry and client groups, functions, brands, agencies, to drive clients measurement objectives
- Conduct in-depth custom analysis and ad effectiveness studies to understand the relative impact of different marketing strategies across digital platforms and across media
- Communicate complex research results to business/non-technical audience
- Derive insights and measurement proof points for the region and work with marketing teams to take them to market
- Educate clients, agencies and the industry on Meta’s measurement and research capabilities
- Provide feedback to and collaborate with cross-functional teams such as Product and R&D to identify opportunities for new features, products and partnerships and drive client engagement around measurement innovation, including products alphas and beta
Minimum Qualifications:
- 3-5 years experience analysing and manipulating data sets to understand patterns and provide client insights using SQL/R/Python
- Bachelor's degree or equivalent required, an advanced degree in statistics, economics, behavioral or social science or a related quantitative degree preferred
- Proven verbal and written communication skills with ability to work cross-functionally and influence clients
- Direct experience converting business problems into hypothesis that can be proven with data
- Direct experience independently scoping and executing analytical projects from start to finish
- Knowledge of statistical or machine learning concepts such as experiment design, hypothesis testing, regression, classification models etc
- Client-facing experience, including experience driving change through adoption of new products or research methods
- Interpersonal skills with demonstrated ability to communicate technical content to non-technical audiences
Preferred Qualifications:
- Good understanding of the advertising industry (especially online) and measurement methods/technologies most commonly used (e.g. attribution)
- Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
- Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
- Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
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
- Marketing Science Partner
- Data Analysis
- Measurement Strategy
- ROI Demonstration
- Best Practices Development
- Product Development
- Client Relationship Management
- Performance Marketing
- Statistical Modeling
- SQL/R/Python
Skills & topics
- Marketing Science Partner
- Data Analysis
- Measurement Strategy
- ROI
- Performance Marketing
- Client Management
- SQL
- R
- Python
- Advertising Industry
- South East Asia
- Meta
How to get hired
- Tailor your resume: Highlight your data analysis, SQL/R/Python, and client-facing experience. Quantify your impact on business outcomes.
- Showcase analytical skills: Emphasize your experience converting business problems into data-driven hypotheses and executing projects independently.
- Demonstrate communication prowess: Provide examples of effectively communicating complex technical information to non-technical stakeholders.
- Highlight industry knowledge: Mention your understanding of the advertising industry and measurement technologies like attribution.
- Prepare for behavioral questions: Be ready to discuss how you drive change and influence clients with new methods.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the primary focus of the Marketing Science Partner role at Meta in South East Asia?
- The primary focus of the Marketing Science Partner role at Meta in South East Asia is to drive effective measurement strategies, demonstrate the ROI of Meta's platforms, and inform product development. You will advise clients and the industry on measurement best practices to improve business performance.
- What kind of quantitative and analytical skills are essential for this Marketing Science Partner position at Meta?
- Essential skills include strong quantitative abilities, direct response/performance marketing experience, and critical thinking. Proficiency in data analysis and manipulation using SQL/R/Python is required, along with experience in statistical concepts like experiment design and hypothesis testing.
- How does the Marketing Science Partner role at Meta contribute to client success?
- The Marketing Science Partner contributes to client success by developing strategic relationships, managing client measurement objectives, conducting in-depth analyses, and educating clients on Meta's measurement capabilities to improve their advertising effectiveness and business outcomes.
- What is expected in terms of client-facing experience for the Marketing Science Partner role at Meta?
- Client-facing experience is crucial. You should be adept at managing complex client relationships, influencing stakeholders, and driving the adoption of new measurement products or research methods to help clients achieve their objectives.
- What is Meta's approach to AI in this Marketing Science Partner role?
- Meta values the integration of AI tools to optimize workflows and drive impact. Preferred qualifications include demonstrated AI skill development, experience with prompt engineering, and adherence to responsible AI practices for risk assessment and bias mitigation.
- What is the typical career path for a Marketing Science Partner at Meta?
- While specific paths vary, a Marketing Science Partner at Meta often progresses by deepening client relationships, leading larger analytical projects, or moving into more senior roles within the Marketing Science or broader data science and analytics teams at Meta.
- How does Meta foster innovation within its Marketing Science team?
- Meta encourages innovation by having Marketing Science Partners provide feedback to Product and R&D teams, identifying opportunities for new features and products. Collaboration on measurement innovation, including alpha and beta product testing, is also key.
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