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Salary
$70k – $135k per year
Location
Hybrid (Chicago, United States)
Seniority
Architect · 5+ years exp
Employment
Full-Time

Confirmed on the employer's own hiring board on Sep 27, 2026. First seen by Alion on Sep 24, 2026.

Overview
Company
Impact
Profile match
Omnicom is a global marketing and communications holding company headquartered in New York that owns advertising, media, precision marketing, public relations, healthcare and commerce agencies. Formed in 1986 and listed on the New York Stock Exchange, it runs networks such as BBDO, TBWA, Omnicom Media and Omnicom Health, and in 2025 it completed the acquisition of Interpublic Group, which added McCann and IPG Mediabrands. Its openings cover paid social and search, strategy, account and client finance, project management and human resources roles, concentrated in New York, Chicago, Los Angeles, London and Toronto.

Agency:

Omd

Job Function:

Data and Analytics

Job Subfunction:

Data Science and Analytics

Job Description:

Associate Director, Data Science

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.

Responsibilities

External facing responsibilities:

  • Partner with Planning & Investment teams to provide expert hands-on Data Science support across the entire campaign lifecycle.
  • 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.)
  • Strong project management skills with an ability to set priorities, meet deadlines and know when to ask for help
  • Leverage technical (coding) expertise to help bring about process efficiencies
  • undefined

Internal facing responsibilities:

  • 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
  • Lead and train managers and other junior team members

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 5-7 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

$70,000 - $135,000

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. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

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.

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