About the position
The VP, Data Scientist at Alpha Labs will collaborate with audience strategists and marketing technologists to identify and activate data driven applications across a connected consumer journey. This role will operate at the leading edge of new business pursuits and strategic innovation, uncovering white space opportunities and architecting breakthrough, data-driven audience solutions that differentiate Publicis Groupe in the market. The VP, Data Scientist will partner across the broader company to spearhead groundbreaking AI-driven advertising solutions. This includes contributing thinking on new business pitches and key client engagements to innovate never-been-done-before solutions. Collaborating with Groupe Solutions leads and business development teams to employ Publicis AI products and exclusive data tools.
Responsibilities
- Partner with Audience Strategy leads to identify and model audience whitespace opportunities using first- and third-party data, syndicated research, and behavioral signals.
- Design and deploy predictive segmentation, targeting, and measurement models to fuel innovative campaign strategies and new business pursuits.
- Build Python-based data science solutions and deploy to Databricks, AWS and Azure environments to scale strategic audience solutions.
- Translate complex datasets into compelling visualizations, frameworks, and narratives that differentiate Publicis Groupe in competitive pitch environments.
- Collaborate with creative, media, and technology partners to embed data science outputs into end-to-end communication planning.
- Evolve and co-develop proprietary audience intelligence tools in collaboration with CoreAI, enhancing Groupe-level product innovation.
- Actively contribute to strategic responses in RFPs and pursuits, applying data science to unlock bold, bespoke audience experiences.
Requirements
- 7-10 years of experience in Python programming and data analysis (Pandas, NumPy, Scikit-learn), ideally within a media, marketing, or tech context.
- Advanced skills in regression, predictive modeling, statistical inference, and experimental design.
- Familiarity with Marketing Mix Models, attribution techniques, and consumer behavior datasets.
- Experience visualizing insights for C-level or new business audiences; ability to translate data into decision-making tools.
- Proven experience deploying applications and models into cloud environments, Databricks experience a plus.
- Strong interpersonal skills with the ability to operate in high-pressure, fast-paced environments (e.g., pitch rooms, RFP war rooms).
Benefits
- Medical coverage
- Dental insurance
- Vision insurance
- Disability insurance
- 401K
- Parental and family care leave
- Family forming assistance
- Tuition reimbursement
- Flexible time off
