Publicis Groupe is looking to design, build, and deliver advanced data science and marketing science solutions in their CoreAI platform(s) to support the agency’s global media engagement relationship with Mars, Inc. The role will focus on technical innovation and effective delivery of advanced analytic solutions in areas like connected measurement, outcomes/KPI forecasting, experimental designs, and optimization across media investments.
Requirements
- Practical knowledge of statistical modeling & predictive analytic techniques required to solve complex problems in marketing & media such as MMM, multi-touch attribution, Dynamic Creative Optimization (DCO), customer segmentation, media scenario planning, etc.
- Practical understanding and/or experience with systematic test design & improvement approaches such as full & fractional factorials, Monte Carlo simulations/risk-based testing, etc.
- Programming experience in Python/R/SQL/SAS/Dataiku/etc.
- Experience with data modeling frameworks—hierarchical and network models, OLAP design, predictive & times series data modeling, knowledge graphs, etc.
- Proficiency with visualization tools such as Tableau/Datorama/PowerBI.
- Use programming languages (Python, R, SQL) and frameworks (TensorFlow, scikit-learn) to deliver strong, scalable models.
- Demonstrated ability in marketing & media analytics with a major marketing & advertising network or similar client-side functions/roles.
Responsibilities
- Design and lead global measurement strategies that support regions, segments, and agency partners, building high-level analytic frameworks that drive decision-making.
- Evaluate existing marketing science capabilities and guide the creation of a Capabilities Roadmap covering customer segmentation, predictive modeling, dynamic creative optimization, and well-rounded performance measurement.
- Advance the CoreAI product offering with new approaches to predictive analytics, AI-powered performance reporting, and cross-media optimization.
- Develop and deploy analytic solutions that leverage connected data, advanced modeling, and cutting-edge technology to maintain a competitive edge.
- Lead a team in applying machine learning and AI methods (clustering, neural networks, time series forecasting, optimization algorithms) to create high-impact marketing solutions.
- Work with complex datasets—including consumer behavior, CRM engagement, and content performance—to generate actionable insights.
- Partner with data science peers to build AI-driven dashboards using tools like Tableau, Power BI, and Datorama.
Other
- Partner with CoreAI leaders and account strategists to translate complex business goals—such as customer retention, media efficiency, brand growth, and sales forecasting—into actionable data science and marketing science solutions.
- Foster a culture of innovation by applying standard methodologies and engaging in experimentation to continually improve outcomes.
- Host collaborative workshops with customers to define project scope, success metrics, and key performance indicators.
- Partner with internal teams and external stakeholders to shape strategy and ensure successful execution.
- Oversee projects from planning to delivery, ensuring all solutions meet quality, budget, and timeline expectations.
