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Marketing Science Partner (INTL)

Work with internal and external clients in an industry vertical on an ongoing basis to adopt better measurements to improve business outcomes. Work directly with clients using data science tools and data sets. Design tests (conversion lift, brand lift, attribution etc.) and research to help clients understand and improve the effectiveness of their advertising across digital platforms and across media to drive good measurement with advertisers. Customize existing capabilities or pilot new, scalable capabilities in partnership with Product, R&D, and Partnerships. Strong analytical and critical thinking skills and familiarity with large data sets and data manipulation tools. Manage a complex set of client and agency relationships. Engage 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 techniques. Drive 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 company’s or third-party technology tools. Conduct in-depth standard and custom ad effectiveness studies for advertisers to understand the relative impact of different marketing strategies across digital platforms and across media. Communicate complex research results to a general audience. Provide 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 beta. Partner closely with cross-functional partners such as Sales, Product, R&D, Ads Research, Creative Shop etc. Experience analyzing and manipulating data sets to understand patterns and provide insights. Demonstrated leadership experience at an industry level and with senior clients. Experience communicating technical content to a general audience. Experience with digital advertising measurement methods and technologies. Experience 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 SQL Experience with field experiments, experimental design, survey sampling, and/or panel data.

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