Summary
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, 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 m 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, person should have track record of work in cross-functionally with internal teams and partner closely with the Sales team.
Required Skills
Marketing Science Partner - Performance Marketing (Russian or Ukrainian) Responsibilities
1. Engage with clients to share insights & research-based best practices and measure true business value by building and operationalising “learning agendas”. The best practices and learning agendas will highlight how a client can improve business outcomes
2. Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the recommended solutions
3. Offer selective consultation with clients on business hypothesis to test, measurement design & feasibility or insights interpretation
4. Design tests to showcase the power of measurement using client data and Meta or third-party technology tools
5. 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
6. Operate internal & external education & training workshops to raise awareness & advocacy of Measurement solutions & analytical best practices (understanding auction, creative testing, use of lift tools…)
7. Communicate complex research results to a general audience on client side
8. Work with advertising and industry bodies to create best in class measurement solutions
9. Support client engagement with third party vendors responsible for setting up and conducting measurement studies
Minimum Qualifications
1. Bachelor’s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, or similar
2. English proficiency is required. Ukrainian or Russian language skills are a significant asset as this team partners with clients in Central and Eastern Europe
3. Direct experience in scoping and executing analytical or research projects with clients and or cross-functional stakeholders
4. 5+ years of experience analyzing and manipulating data sets to understand patterns and provide insights
5. Proven experience in working with structured and unstructured data-sets, statistical software such as R, SQL is a must
6. Ability to communicate technical content to general audience
7. Client-facing experience (internal or external), including ability to drive meetings or change through adoption of new products or research methods
8. Experience with digital advertising measurement methods and technologies
9. Experience with field experiments, experimental design, survey sampling, and/or panel data
10. Proven experience working with app and e-commerce verticals, demonstrating a great understanding of the unique challenges and opportunities within these industries
Preferred Qualifications
1. AI-native mindset (or eagerness to rapidly upskill) with foundational working knowledge of modern AI/LLM tools and concepts
Industry
Internet
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