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We are tightly integrated with marketing science teams to deliver on and exceed our clients’ business goals.\nExternal facing responsibilities:\nBuild advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers\nRun descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.)\nAdhere to set deadlines and ensure high quality work product\nInternal facing responsibilities:\nLeverage technical (coding) skills to help bring about process efficiencies\nContribute to building decks and reports that help translate analytical results to internal and client teams\nContribute to building DS Practice knowledge repository via decks, documents and other artifacts\nRequired Skills\nHands-on programming language skills (SQL, Python, R, etc)\nIntermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information\nAdvanced presentation and communication skills\nSome experience working with non-technical teams\nKnowledge of digital clean rooms, and their related concepts and strategy\nCertifications in any of the following: Meta (Blueprint), SQL, Python, R (online)\nDemonstrated domain knowledge of business/industry\nEducation and Experience\nA university degree in mathematics, computer science, statistics or related field, and 3-5 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting\nKnowledge of agency-side execution process is desirable, but not required\n\nComp Range: $50,000 - $95,000\nTo the extent permissible by local law, Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.\nOmnicom is committed to hiring and developing exceptional talent. 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