Marketing Science Partner


: $86,310.00 - $138,710.00 /year *

Employment Type

: Full-Time


: Advertising/Marketing/Public Relations

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To fulfill this mission, the Marketing Science team at Facebook is actively seeking a full-time and experienced Marketing Science Partner. A Marketing Science Partner at Facebook works with internal and external clients in an industry vertical such as Automotive, E-commerce, Entertainment, CPG, Fin-Serv, Tech 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 directly with clients using Facebook'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. 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.Facebook is seeking exceptional candidates to join the Marketing Science team: we're looking for people with strong analytical and critical thinking skills as well as familiarity with large data sets and data manipulation tools. To successfully influence how advertisers conduct and use measurement, the candidate should be able to work cross-functionally with teams such as Sales, Creative Shop, Ads Research, Product Marketing etc.RESPONSIBILITIES* Manage a complex set of client and agency relationshipsEngage with clients and agencies to measure true business value by building and operationalizing \"learning agendas\" that highlights how a client can improve business outcomes by employing better measurement techniquesDrive client, vertical, and industry adoption of preferred measurement methodologies, products, and approaches in support of the \"learning agenda\"Design tests to showcase the power of good measurement using client data and Facebook or third-party technology toolsConduct in-depth standard and custom ad effectiveness studies for Facebook advertisers to understand the relative impact of different marketing strategies across digital platforms and across mediaCommunicate complex research results to a general audienceProvide feedback to and collaborate with Product, R&D, and Partnerships to identify opportunities for new features, products, and partnerships and drive client engagement around measurement innovation, including product alphas and betaPartner closely with cross-functional partners such as Sales, Product, R&D, Ads Research, Creative Shop etc.MINIMUM QUALIFICATIONS* Bachelor's degree in Business, Statistics, Biostatistics, Data Science, Economics, Mathematics, Computer Science, Engineering, Sociology or similarExperience independently scoping and executing research projects with clients and/or cross-functional stakeholdersExperience analyzing and manipulating data sets to understand patterns and provide insightsDemonstrated leadership experience at an industry level and with senior clientsExperience communicating technical content to all types of audiencesExperience with digital advertising measurement methods and technologiesExperience working with structured and unstructured data-sets, statistical software such as R, SPSS, SAS as well as data extraction tools such as Hive and/or SQLExperience with field experiments, experimental design, survey sampling, and/or panel dataPREFERRED QUALIFICATIONS* Advanced degree in a quantitative field or an MBAExperience with digital advertising for brand and DR outcomesFacebook is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at * The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.

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