Omnicom
Manager, Data Science
Job at a glance
- Workplace
- Hybrid
- Employment
- Full-time
- Sector
- Engineering & Technology
- Posted
- Oct 27, 2026
- First found
- Oct 27, 2026, 5:04 PM ET
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About the job
Agency:
Omnicom Media
Job Function:
Data and Analytics
Job Subfunction:
Data Science and AI
Job Description:
Utilizes established specialized knowledge to execute tasks, lead smaller projects or oversee components of larger initiatives. Addresses non-routine problems and contributes to process improvements, applying experience and judgment to deliver effective outcomes.
May oversee the daily activities of team members within a defined area.
Constructs, trains, and deploys machine learning algorithms using advanced techniques including deep learning, generative modeling, neural networks, natural language processing, and computer vision to uncover patterns and develop predictive models. Leverages AI and data analytics to optimize advertising strategies, audience targeting, and campaign performance. Develops intelligent solutions for customer insights and marketing automation. Collaborates with creative, marketing, and technical teams to implement AI-driven solutions that maximize advertising effectiveness across digital platforms and channels
$120,000
To the extent permissible by local law, Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers:
*It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F. *