Manager, Data Science

Omnicom

Data Science Manager building marketing ML models and campaign analytics for Omnicom’s PHd agency. Translating insights into client reports and improving data science processes.

Posted 8/13/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $50,000 - $95,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Proficient in building advanced machine-learning models and conducting analyses to measure campaign performance, with strong programming skills in SQL, Python, and R. Capable of effectively communicating analytical results to both technical and non-technical teams.

Highest-signal resume keywords

Machine-Learning TechniquesSQL ProgrammingPython ProgrammingData AnalysisPresentation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine-Learning ModelsSQLPythonRData AnalysisCausal ModelsProcess EfficiencyCampaign Performance MeasurementDigital Clean RoomsStatistical Analysis

Soft Skills

Advanced Communication SkillsCollaboration with Non-Technical TeamsTime Management

Tools & Technologies

Analytics PlatformsPresentation Software

Certifications & Qualifications

Meta BlueprintSQL CertificationPython CertificationR Certification

Industry Keywords

InformaticsAdvertisingManagement ConsultingMarketingDigital ConsultingAgency-Side Execution Processes

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

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 in clean rooms and other analytics platforms
Meet deadlines and ensure high-quality work products
Use coding skills to improve process efficiency
Build decks and reports translating analytical results for internal and client teams
Contribute to the data science practice knowledge repository through decks, documents, and other artifacts

Requirements

What you’ll need

Hands-on programming language skills, including SQL, Python, R, or similar
Intermediate exposure to machine-learning techniques and causal models
Advanced presentation and communication skills
Some experience working with non-technical teams
Knowledge of digital clean rooms and related concepts and strategy
Certifications in Meta Blueprint, SQL, Python, or R (online)
Demonstrated business or industry domain knowledge
University degree in mathematics, computer science, statistics, or a related field
3–5 years of experience in informatics work in academia, advertising, management consulting, marketing, or digital consulting
Knowledge of agency-side execution processes is desirable but not required

Benefits

Comp & perks

Hybrid work arrangement
Equal employment opportunities
Inclusive team environment
Talent development and growth opportunities