Senior Data Scientist

About the Company

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.

Publicis Collective’s consultative practitioners are catalysts for business growth and innovation. 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.

Our three core values—curious, open, and driven—help us stay ahead:

• 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.

About the Role

The Senior Data Scientist collaborates with planning, audience strategy, and analytics teams to address marketing challenges. In this position, you'll provide valuable expertise to the data science group by sharing insights and creating models or solutions tailored to client business needs, leveraging data to craft compelling narratives. Additionally, you will help shape a vision for your assigned accounts and work to make that vision a reality.

Responsibilities

• 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, modeling, segmentation, and reporting.

Qualifications

• 3+ years of work experience in quantitative analysis with proven results in leveraging customer/transaction data 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, and comfort with presenting work by phone or within small groups.

Benefits

Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent, including:

• Medical, dental, and vision coverage.
• Disability and 401K plans.
• Parental and family care leave.
• Family forming assistance.
• Tuition reimbursement.
• Flexible time off.

Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan and 401(k) plan after meeting certain criteria.

Pay

Compensation Range: USD $73,150.00 - USD $96,200.00/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.