RR Donnelley
10.000+ funcionários
A RRD é uma provedora global líder em soluções de marketing, embalagens, impressão e cadeia de suprimentos que elevam o engajamento ao longo de toda a jornada do cliente. A empresa oferece o portfólio mais confiável do setor em execução criativa e consultoria de processos de negócios em todo o mundo, com serviços projetados para reduzir o impacto ambiental.
Marketing Scientist I
🕒 2 dias atrás
🗣️🇺🇸🇬🇧 Inglês obrigatório
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RR Donnelley
10.000+ funcionários
A RRD é uma provedora global líder em soluções de marketing, embalagens, impressão e cadeia de suprimentos que elevam o engajamento ao longo de toda a jornada do cliente. A empresa oferece o portfólio mais confiável do setor em execução criativa e consultoria de processos de negócios em todo o mundo, com serviços projetados para reduzir o impacto ambiental.
Descrição
• Execute analytical projects from established data requirements, that specific client deliverable, tasks, and analysis timing • Acquire and aggregate data from a variety of sources; audit contents and ensure proper usage of data fields; merge, summarize, and transform data as required for analysis • Work with internal teams to address client business problems, set expectations, communicate progress and issues, produce results, and deliver findings to clients in a highly professional manner • Apply statistical methods and execute analyses, such as building targeting models, developing segmentation schemes, creating test designs, measuring program performance, identifying a
🎯 Requisitos
• 4 Year / Bachelors Degree-Bachelor's degree in a quantitative discipline is required. • Graduate Degree-Higher education in statistics, mathematics, analytic MBA, or other quantitative graduate degree preferred • 1 year of experience • A strong understanding of marketing strategy and analysis, campaign targeting, test design, and measurement is strongly preferred • Knowledge of statistical techniques such as logistic regression, cluster analysis, and basic experimental design • Exposure to newer data transformation techniques such as data/text mining, pattern recognition and dataframe operations. • Demonstrated strength in effective written and oral communication. • Ability to provide presentation of technical/statistical findings to non-technical audiences • Hands-on experience using data query and analytic tools such as SQL, and Python; must be able to work with large databases (querying, joining, summarizing) to create analytic datasets and execute analyses. • Familiarity with standard data analytics libraries such as Pandas and NumPy is a plus • Experience with data visualization (e.g., matplotlib, R), other languages (e.g., Python), command line prompts in Linux and cloud platforms (e.g., AWS) is a plus. • Capable of working in a dynamic environment, handling multiple projects, meeting deadlines, able to prioritize appropriately and respond to issues quickly and creatively.
🏖️ Benefícios
• medical, dental, and vision coverage • paid time off • disability insurance • 401(k) with company match • life insurance • other voluntary supplemental insurance coverages • parental leave • adoption assistance • tuition assistance • employer/partner discounts
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