Data Science and AI_06

Los Angeles, CA (Hybrid)

$90K/yr – $215K/yrMid Level7+ years expFull time

Posted 2 weeks ago

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Job Summary

Own the data science engine for campaign planning and optimization, turning models and analyses into actionable roadmaps, audience segments, and platform-ready insights for non-technical stakeholders.

  • Build ML models to cluster audiences and deploy custom audiences across platforms.
  • Translate descriptive and diagnostic analyses into clear performance narratives for execs and teams.
  • Lead DS practice growth, mentoring juniors and designing the analytics knowledge base.

Job Description

  • Partner with Planning & Investment teams to provide expert hands-on and strategic 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.)
  • Help develop strategic analytical roadmaps to institutionalize data driven outcomes
  • Excellent project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence
  • Leverage technical (coding) expertise to help bring about process efficiencies
  • Build and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences
  • Help design and develop the DS practice knowledge repository and delegate tasks to junior resources to support vision
  • Lead and train direct reports and manage their career progression
  • Hands-on programming language skills (SQL, Python, R, etc)
  • Experienced in machine learning techniques, causal models, etc. to support the analysis of information
  • Advanced presentation and communication skills
  • Experience working with non-technical teams
  • Clear understanding of digital clean rooms, and their related concepts and strategy
  • Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
  • Expert-level domain knowledge of business/industry
  • A university degree in mathematics, computer science, statistics or related field, and 7-10 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
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Omnicom Media

3.5 Glassdoor

Omnicom Media, the media services division of Omnicom Group Inc., designs ecosystems for growth. Powered by the Omni Intelligence Platform, Omnicom Media connects best-in-class capabilities that enable our full-service media agencies OMD, Initiative, PHD, UM, Hearts & Science and Mediahub to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 40,000 people serving the world’s leading brands in Omnicom Media agencies around the globe.

Founded in 1996
New York, Iowa, USA
14K employees (3,943 in marketing)
60% recommend to a friend
74% CEO approval

Traffic Signals

Monthly Visitors
17.3K
Traffic Source Mix
Search
3.6%
Direct
10%
Referral
1.4%
Social
14.1%
Paid
4.2%

Headcount Trend

Current headcount: ~13.9K

Marketing Team

Marketing Team Size
3,373 (24% of company)
Median Career Experience
25 years
Median Tenure
1.8 years
Marketing Roles Posted (Last 30 Days)
75

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