Data Science Manager - ML & Audience Analytics

PHD; New York (NY); On-site; USD 50,000 - 95,000; Full time

Job summary

Omnicom's Data Science team drives the delivery of modern agency services, tightly aligned with marketing science to meet client goals. The role focuses on building advanced ML models to cluster and segment audiences and on running descriptive analyses to measure campaign performance across clean rooms and a range of analytics platforms.

You will translate analytical results into actionable outputs for internal and client teams.

Qualifications

• A university degree in mathematics, computer science, statistics or related field, and 3-5 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting.
• Knowledge of agency-side execution processes is desirable.

Responsibilities

• Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across platforms.
• Run descriptive and diagnostic analyses to measure campaign performance in analytics environments.
• Leverage coding skills to improve processes and translate results to internal and client teams.

Skills

SQL

Python

R

Machine learning

Communication

Non-technical collaboration

Digital clean rooms knowledge

Education

Math/CS/Stats degree

Job description

Omnicom's Data Science team drives the delivery of modern agency services, tightly aligned with marketing science to meet client goals. The role focuses on building advanced ML models to cluster and segment audiences and on running descriptive analyses to measure campaign performance across clean rooms and a range of analytics platforms.

You will translate analytical results into actionable outputs for internal and client teams.