Senior Data Scientist

Company description

As the traditional marketing funnel collapses and fragmentation increases, clients rely on Publicis Collective to connect media, data, technology, and teams by what matters most – business outcomes. We’re a full-service media agency where nearly half our experts focus on data, research, analytics, technology, or strategy. At Publicis Collective, 100% of our 2,200 global practitioners can access advanced insights and scale media with precision through our proprietary OS, powering marketing that drives measurable business performance and transformation.

You will work very closely with planning, audience strategy and analytics teams to help them solve marketing problems. They also contribute crucial intellectual capital to the data science team by sharing knowledge and designing models and Data Science solutions based on their clients’ business needs and using data to tell great stories. A Manager will also help formulate a vision for their accounts and bring that vision to life.

As such, a manager is a mentor, project manager, and thought leader, all at the same time. Day-to-day responsibilities include:

• Design, estimate, tune, score and maintain advanced statistical and mathematical models (e.g. classification, numeric forecasts, customer segmentation, customer propensity, attribution, etc.).
• Produce accurate statistical analysis and ensure high quality of the data analysis produced.
• Interpret, document and present/communicate analytical results to multiple business disciplines, providing conclusions and recommendations.
• Take analytical objectives and define data requirements. Extract, clean, and transform both customer level, and aggregated data for analysis, modelling, segmentation and reporting.

• 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.

Our Publicis Groupe motto “Viva La Différence” means we’re better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.

If you require accommodation or assistance with the application or onboarding process specifically, please contact

Compensation Range: $77,000 - $86,000 annually. This is the pay range the Company believes it will pay for this position at the time of…