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Associate Director, Data Science

Chicago, Illinois, United States of America

Pay
Pay not listedSimilar roles state $118K–$193K
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Interpublic

What you’ll work on

Full posting
  • Build advanced ML models to cluster and segment audiences

  • Scale and deploy custom audiences across platforms and publishers

  • Run descriptive and diagnostic campaign analyses in clean rooms and analytics platforms

  • Build decks and reports that translate analytical results for internal and client teams

  • Lead and train managers and junior team members

From the employer’s posting
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
Contribute to building decks and reports that help translate analytical results to internal and client teams
Lead and train managers and other junior team members

What you’ll bring

All qualifications

Core experience

  • University degree in mathematics, computer science, statistics or related field
  • 5-7 years of experience in informatics, advertising, consulting or marketing
  • Hands-on programming skills in SQL, Python, R or similar
  • Intermediate exposure to machine learning and causal models
  • Knowledge of digital clean rooms and related strategy

Preferred experience

  • Knowledge of agency-side execution process is desirable, but not required
Qualification wording
A university degree in mathematics, computer science, statistics or related field
5-7 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
Hands-on programming language skills (SQL, Python, R, etc)
Intermediate exposure to machine learning techniques, causal models, etc.
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

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 29, 2026 · 1 day ago
Recorded sightings
2
Employer says posted
Sep 24, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

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Job description

View original posting ↗

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.

Source details

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Location & working pattern

Chicago, Illinois, United States of America

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