About the position
Responsible for designing, building, and delivering advanced data science and marketing science solutions in Publicis's CoreAI platform(s) to support the agency's global media engagement relationship with Mars, Inc. This role will be a critical driver both of technical innovation and effective delivery of advanced analytic solutions. Specifically in the areas of connected measurement, outcomes/KPI forecasting, experimental designs at the strategic segments and geo levels, and optimization across all brand & performance media investments. This role combines experience in applied marketing science and media strategy activation with deep expertise in best-of-breed advanced modeling capabilities to guide the implementation of ML/AI-based solutions. Activities and focus are media investment planning, efficient experimental designs, holistic marketing and advertising measurement and optimization at the customer cohort and geographic levels. The role will integrate data, analytics, and technology to deliver innovative analytic capabilities for Marketing Science functions that enhance the Publicis CoreAI marketplace offering and clients' business outcomes.
Responsibilities
- Partnering with CoreAI analytic leadership and account strategists, translate Mars business/brand challenges into Marketing Science and Data Science frameworks and predictive models.
- Define the overall Analytic vision and build the measurement roadmap serving as the foundation capability set that Segments/Regions and agency partners can utilize.
- Leverage marketing & media category knowledge to assess current Publicis capabilities and marketing science offerings and propose a Capabilities Roadmap.
- Design and develop customized analytic products that leverage connected data networks and advanced modeling techniques.
- Conduct workshops and strategic discussions with stakeholders to define project scope, objectives, and key performance indicators (KPIs).
- Lead the team that builds marketing science analytics solutions using machine learning/AI techniques.
- Oversee team members tasked with applied marketing science and machine learning/AI techniques.
- Work with large and complex datasets to derive actionable insights.
- Support the development of AI-augmented performance reporting into BI visualization dashboards.
- Utilize programming languages and tools like Python/R/SQL and machine learning frameworks to build robust data & algorithmic models.
- Lead end-to-end project delivery, including project planning, execution, and performance tracking.
- Collaborate with cross-functional teams to drive successful implementation.
- Present findings and recommendations to clients in a clear, concise manner.
Requirements
- Minimum of 10 years of experience in marketing & media analytics with a major marketing & advertising network or similar client-side functions/roles.
- Proven experience in client-facing roles and in delivering advanced analytics to clients.
- Education: Bachelor's or Master's degree in Marketing Science, Business, Computer Science, Economics, or a related field. A Ph.D. degree is a plus.
- Practical knowledge of statistical modeling & predictive analytic techniques.
- Practical understanding and/or experience with systematic test design & improvement approaches.
- Programming experience in Python/R/SQL/SAS/Dataiku.
- Experience with data modeling frameworks and proficiency with visualization tools such as Tableau/Datorama/PowerBI.
Nice-to-haves
- Experience in leading cross-functional projects.
- Strong communication and presentation skills.
- Excellent problem-solving abilities and critical thinking skills.
Benefits
- Medical coverage
- Dental insurance
- Vision insurance
- Disability insurance
- 401K
- Parental and family care leave
- Family forming assistance
- Tuition reimbursement
- Flexible time off
