Qualifications 3+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction to address business objectives Strong knowledge of Relational Databases and SQL programming Highly proficient in at least one popular programming language used for Machine Learning, such as Python or R Solid understanding of mathematical modeling, probability and statistics, and the design and simulation of stochastic systems Familiarity with the mathematics behind important statistical learning algorithms such as ARIMA, Linear Regression, Logistic Regression, Centroid-based and Hierarchical Clustering, Principal Component Analysis (PCA), Decision Trees/Random Forest, Bayesian Inference, Markov Chain Monte-Carlo (MCMC) Familiarity with common advanced marketing analytics solutions such as Customer Segmentation, Marketing Mix Modeling (MMM), Multi-touch Attribution (MTA) Familiarity with the capabilities and mechanics of a broad range of advertising media channels, such as Television, Radio, Print, Search, Display, Email, Ecommerce, and Social Familiarity with the capabilities and mechanics of a broad range of marketing measurements and technologies such as Ad Servers, DSP, DMPs, CRMs, and Syndicated Research Strong communication skills- Ability to speak and write professionally. Ability and comfort with presenting work by phone or within small groups Additional information Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger.