Manager, Data Science
Chicago, Illinois, United States of America
- Pay
- Pay not listedSimilar roles state $153K–$225K
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
What you’ll bring
All qualificationsCore experience
- Knowledge of digital clean rooms, and their related concepts and strategy
Preferred experience
- Knowledge of agency-side execution process is desirable, but not required
Qualification wording
Knowledge of digital clean rooms, and their related concepts and strategy
Knowledge of agency-side execution process is desirable, but not required
Tools in this posting
- Python
- R
- SQL
Source — Tool mentions in context
Required Skills - Hands-on programming language skills (SQL, Python, R, etc) - Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information
- Knowledge of digital clean rooms, and their related concepts and strategy - Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online) - Demonstrated domain knowledge of business/industry
Posting record
Report an errorActively hiringFirst seen by us today, still listed, and not a repost of an earlier posting.
- Status in our records
- Live
- First seen by us
- Oct 29, 2026 · today
- Recorded sightings
- 1
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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Job description
Agency:
Omnicom MediaJob Function:
Data and AnalyticsJob Subfunction:
Data Science and AIJob Description:
The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients’ business goals.
External facing responsibilities:
- Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers
- Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.)
- Adhere to set deadlines and ensure high quality work product
Internal facing responsibilities:
- Leverage technical (coding) skills to help bring about process efficiencies
- Contribute to building decks and reports that help translate analytical results to internal and client teams
- Contribute to building DS Practice knowledge repository via decks, documents and other artifacts
Required Skills
- Hands-on programming language skills (SQL, Python, R, etc)
- Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information
- Advanced presentation and communication skills
- Some experience working with non-technical teams
- Knowledge of digital clean rooms, and their related concepts and strategy
- Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
- Demonstrated domain knowledge of business/industry
Education and Experience
- 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 process is desirable, but not required
Comp Range: $50,000 - $95,000
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.
Source details
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- Pay
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- Location & working pattern
Chicago, Illinois, United States of America
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- Work authorization
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