To fulfil this mission, the Marketing Science team at Meta is actively seeking a full-time, experienced Marketing Science Partner. A Marketing Science Partner at Meta works with internal and external clients in an industry vertical such as Financial Services, E-commerce, Consumer Packaged Goods, Technology 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 tools and data sets.
Driving good measurement with advertisers will require designing tests (conversion lift, brand lift, attribution etc.) and doing research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media. This work will require direct engagement with clients, with media agencies as well as using our third party scaling solutions to help with the set up and running of studies. Conclusions from this work will showcase what good measurement is and how clients can act upon it to drive business impact.
The Marketing Science Partner will also focus on customizing existing capabilities or in some cases piloting new, scalable capabilities in partnership with Product, R&D, and Partnerships. Meta is seeking exceptional 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. To successfully influence how advertisers conduct and use measurement, the candidate should be able to work cross-functionally with internal teams and partner closely with the Sales team.
Marketing Science Partner Responsibilities
Manage a complex set of client relationships across a vertical and work with clients to build and operationalize measurement strategies, including measurement product adoption, learning agendas, and experiments that drive performance improvements and uncover best practices
Partner closely with Meta Sales team to manage a set of accounts and prioritize which clients will get servicing from the team
Drive client, vertical, and industry adoption of preferred measurement methodologies, best practices, products, and approaches in support of the learning agenda
Design tests to showcase the power of good measurement using client data and Meta or third-party technology tools
Conduct in-depth standard and custom ad effectiveness studies and bespoke analyses using advanced statistical methods and causal inference techniques for Meta advertisers to understand the relative impact of different marketing strategies across digital platforms and across media
Communicate complex research results, insights, and recommendations with a diverse set of technical and non-technical stakeholders
Partner closely with cross-functional partners such as Sales, Product, Data Science, Creative Shop, Business Engineering etc
Support client engagement with third party vendors responsible for setting up and conducting measurement studies
Offer selective consultation with clients & agencies on business hypothesis to test, measurement design & feasibility or insights interpretation
Work with advertising and industry bodies to create best in class measurement solutions
Operate internal & external education & training workshops to raise awareness & advocacy of Measurement solutions & analytical best practices (auction, use of lift tools…)
Minimum Qualifications
Bachelor’s degree in Business, Statistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similar
Direct experience independently scoping and executing research projects with clients and or cross-functional stakeholders
Experience analyzing and manipulating data sets to understand patterns and provide insights
Experience leading at an industry level and with clients
Experience communicating technical content to all types of audiences (technical and non-technical) and influencing at senior levels
Client-facing experience (internal or external), including ability to drive meetings or change through adoption of new products or research methods.
Experience with digital advertising measurement methods and technologies
Proven excellence in working with structured and unstructured data-sets, statistical software such as R as well as data extraction tools such as Hive, python and/or SQL is a must
Experience with field experiments, experimental design, survey sampling, and/or panel data
Preferred Qualifications
Advanced degree in a quantitative field
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.
Equal Employment Opportunity and Affirmative Action
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics. You may view our Equal Employment Opportunity notice
here.
Meta is committed to providing reasonable support (called accommodations) in our recruiting processes for candidates with disabilities, long term conditions, mental health conditions or sincerely held religious beliefs, or who are neurodivergent or require pregnancy-related support. If you need support, please reach out to
accommodations-ext@fb.com.