Director, Data Science & Analytics

Omnicom Media; United States; On-site; USD 145,000 - 175,000; Full time

Job summary

Omnicom Media’s Data Science team leads analytic delivery across client campaigns. You’ll partner with Planning & Investment to provide hands‑on and strategic Data Science support throughout the campaign lifecycle, building ML models to segment audiences and measuring performance in clean rooms and analytics platforms.

You will present findings to both technical and non‑technical audiences, design the DS practice knowledge base, and mentor junior teammates while advancing data‑driven decision

Qualifications

• 7–10 years of informatics/analytics experience in advertising or digital consulting.
• University degree in mathematics, computer science, statistics or related field.
• Knowledge of agency-side execution processes is desirable.

Responsibilities

• Partner with Planning & Investment teams to provide expert and strategic Data Science support across the campaign lifecycle.
• Build advanced ML models to cluster and segment audiences and deploy across platforms.
• Run descriptive and diagnostic analyses to measure campaign performance in clean rooms and analytics platforms.
• Help develop strategic analytical roadmaps to institutionalize data-driven outcomes.
• Demonstrate excellent project management, meet deadlines, and maintain executional excellence.
• Leverage coding expertise to drive process efficiencies.
• Build and present decks translating complex results for technical and non-technical audiences.
• Lead and train junior resources and manage career progression.

Skills

Machine learning

Causal models

Communication skills

Non-technical collaboration

Digital clean rooms

Certifications (Meta Blueprint, SQL, R

Python

Domain knowledge

Education

University degree in mathematics, computer science, statistics or related field

Tools

SQL

Python

R

Job description

Omnicom Media’s Data Science team leads analytic delivery across client campaigns. You’ll partner with Planning & Investment to provide hands‑on and strategic Data Science support throughout the campaign lifecycle, building ML models to segment audiences and measuring performance in clean rooms and analytics platforms.

You will present findings to both technical and non‑technical audiences, design the DS practice knowledge base, and mentor junior teammates while advancing data‑driven decision