Data Science Manager - Marketing Analytics & ML

Omnicom Media; Atlanta (GA); On-site; USD 90,000 - 110,000; Full time

Job summary

Omnicom Media in Atlanta is seeking a Data Science professional to build advanced ML models for audience clustering, and to run descriptive/diagnostic analyses across analytics platforms to measure campaign performance. The role requires collaboration with non-technical teams and delivering timely, high-quality results.

The candidate should have hands-on SQL, Python, R skills, knowledge of digital clean rooms, and relevant certifications.

Qualifications

• Hands-on programming with SQL, Python, R
• Intermediate exposure to ML techniques and causal models
• Advanced presentation and communication skills
• Experience working with non-technical teams
• Knowledge of digital clean rooms and related concepts
• Certifications in Meta Blueprint, SQL, Python, or R (online)
• Demonstrated domain knowledge of business/industry

Responsibilities

• Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across platforms/publishers
• Run descriptive and diagnostic analyses to measure campaign performance within clean rooms and other analytics platforms
• Adhere to deadlines and ensure high-quality work product
• Leverage coding skills to drive process efficiencies
• Contribute to building decks and reports translating analytical results to internal and client teams
• Contribute to DS Practice knowledge repository via decks and artifacts

Skills

SQL

Python

R

Machine learning

Communication

Non-technical collaboration

Digital clean rooms

Meta Blueprint

Education

Bachelor's degree in Mathematics, Computer Science, Statistics or related field

Tools

Google Ads Data Hub

Amazon Marketing Cloud

Facebook Advanced Analytics

Job description

Omnicom Media in Atlanta is seeking a Data Science professional to build advanced ML models for audience clustering, and to run descriptive/diagnostic analyses across analytics platforms to measure campaign performance. The role requires collaboration with non-technical teams and delivering timely, high-quality results.

The candidate should have hands-on SQL, Python, R skills, knowledge of digital clean rooms, and relevant certifications.