Director, Data Science

Omnicom

. Partner with Planning & Investment teams to provide hands-on and strategic Data Science support across the campaign lifecycle .

Posted 9/21/2026full-timeUnited StatesLead💰 $145,000 - $175,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building advanced machine learning models and conducting data analyses to drive strategic decision-making. Proficient in programming languages such as SQL, Python, and R, with strong communication skills to present complex data insights to diverse audiences.

Highest-signal resume keywords

Machine Learning TechniquesSQL ProgrammingPython ProgrammingAdvanced Presentation SkillsData Analysis

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningSQLPythonRData AnalysisCausal ModelsAudience SegmentationCampaign Performance MeasurementProcess Efficiency ImprovementAnalytical Roadmap Development

Soft Skills

Communication SkillsProject ManagementTeam LeadershipDelegationCollaboration

Tools & Technologies

Google ADHFacebook Advanced AnalyticsAmazon Marketing CloudAnalytics PlatformsData Science Practice Knowledge Repository

Certifications & Qualifications

Meta BlueprintSQL CertificationPython CertificationR Certification

Industry Keywords

InformaticsDigital ConsultingAdvertisingManagement ConsultingMarketing

Tech Stack

Tools & technologies

CloudPythonSQL

About the role

Key responsibilities & impact

Partner with Planning & Investment teams to provide hands-on and strategic Data Science support across the campaign lifecycle
Build advanced machine learning models to cluster and segment audiences and deploy custom audiences across platforms and publishers
Run descriptive and diagnostic analyses to measure campaign performance within clean rooms and analytics platforms such as Google ADH, Facebook advanced analytics, and Amazon Marketing Cloud
Help develop strategic analytical roadmaps to institutionalize data-driven outcomes
Manage projects, set and achieve goals, meet deadlines, and maintain executional excellence
Leverage coding expertise to improve process efficiencies
Build and present decks that communicate complex analytical results to technical and non-technical audiences
Help design and develop the Data Science practice knowledge repository
Delegate tasks to junior resources
Lead and train direct reports and manage their career progression

Requirements

What you’ll need

Hands-on programming language skills (SQL, Python, R, etc.)
Experience with machine learning techniques and causal models
Advanced presentation and communication skills
Experience working with non-technical teams
Clear understanding of digital clean rooms and related concepts and strategy
Certifications in Meta (Blueprint), SQL, Python, or R (online)
Expert-level domain knowledge of business/industry
University degree in mathematics, computer science, statistics, or related field
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

Benefits

Comp & perks

Hybrid work arrangement
Equal employment opportunity policy
Inclusive workplace commitment