Senior Data Scientist

Company description

At Publicis Collective, we know tomorrow's challenges won't be solved by today's solutions. It's why we support our teams with the resources and tools they need to continue redefining the future of marketing. It's also why clients rely on us to lead the way in connecting media, data, technology, and teams by what matters most - business outcomes.

Publicis Collective's consultative practitioners are catalysts for business growth and innovation, we're more than media experts. We are an incubator for high-performing talent and a launchpad for ideas that push the boundaries of what's possible.

As part of the global Publicis Media network, we're backed by the power, scale, and benefits of Publicis Groupe, one of the largest and most celebrated marketing and communications platforms on the planet.

How are we different? There are three core values at the center of our approach that help us stay ahead - curious, open, and driven.

Curious - A deep curiosity compels us to go beyond the brief to deliver exceptional outcomes.

Open - We value diverse perspectives and new ways of working.

Driven - We are ambitious, rigorous, self-disciplined, and resilient in our pursuit of excellence.

If you're a collaborative and enterprising practitioner with a passion for media and a desire to make a real impact, we want to hear from you.

Let's shape the future together.

Overview

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.

Responsibilities

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.

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. 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 [email protected] .

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 this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 02/16/2026.

All your information will be kept confidential according to EEO guidelines.

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