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Manager, Data Science

Omnicom Group

Manager, Data Science

full-timePosted: Aug 25, 2026Updated: Sep 3, 2026United States of America, New York, New York

Job Description

Agency:PHdJob Function:Data and AnalyticsJob Subfunction: Data Science and AnalyticsJob 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.ResponsibilitiesExternal facing responsibilities:Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishersRun 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 productInternal facing responsibilities:Leverage technical (coding) skills to help bring about process efficienciesContribute to building decks and reports that help translate analytical results to internal and client teamsContribute to building DS Practice knowledge repository via decks, documents and other artifactsRequired SkillsHands-on programming language skills (SQL, Python, R, etc)Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of informationAdvanced presentation and communication skillsSome experience working with non-technical teamsKnowledge of digital clean rooms, and their related concepts and strategyCertifications in any of the following: Meta (Blueprint), SQL, Python, R (online)Demonstrated domain knowledge of business/industryEducation and ExperienceA 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 consultingKnowledge of agency-side execution process is desirable, but not required#LI-CC2 $50,000-$95,000Omnicom’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-noticeFor 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.

Locations

  • United States of America, New York, New York
  • 1876

Salary

50,000 - 95,000 USD / yearly

Skills Required

  • digital clean roomsintermediate
  • business/industryintermediate

Required Qualifications

  • Hands-on programming language skills (SQL, Python, R, etc) (experience)
  • Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information (experience)
  • Advanced presentation and communication skills (experience)
  • Some experience working with non-technical teams (experience)
  • Knowledge of digital clean rooms, and their related concepts and strategy (experience)
  • Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online) (certification)
  • Demonstrated domain knowledge of business/industry (experience)

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
  • 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

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