Associate Director, Data Science

Omnicom

Associate Director applying machine learning and analytics to media campaigns at PHD, a global communications planning and media buying agency network. Translating data insights into audience, attribution, and growth solutions.

Posted 8/12/2026full-timeNew York City • New York • 🇺🇸 United StatesSenior💰 $70,000 - $125,000 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 optimize campaign performance. Proficient in translating analytical results into actionable insights for both technical and non-technical stakeholders.

Highest-signal resume keywords

Machine Learning Model DevelopmentSQL ProgrammingPython ProgrammingData Analysis in Clean RoomsAdvanced Presentation Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning TechniquesCausal ModelsData Science SupportAudience SegmentationDescriptive Analysis

Soft Skills

Communication SkillsTeam LeadershipProject Management

Tools & Technologies

Analytics PlatformsDigital Clean Rooms

Certifications & Qualifications

Meta BlueprintSQL CertificationPython CertificationR Certification

Industry Keywords

InformaticsAdvertisingManagement ConsultingDigital ConsultingMarketing

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Partner with Planning & Investment teams to provide hands-on Data Science support across the entire 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
Set project priorities, meet deadlines, and escalate for help when needed
Use coding expertise to improve process efficiencies
Build decks and reports translating analytical results for internal and client teams
Build the Data Science Practice knowledge repository through decks, documents, and other artifacts
Lead and train managers and junior team members

Requirements

What you’ll need

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 skills in SQL, Python, R, or similar languages
Intermediate exposure to machine learning techniques and causal models
Advanced presentation and communication skills
Experience working with non-technical teams
Knowledge of digital clean rooms and related concepts and strategy
Certifications in Meta Blueprint, SQL, Python, or R are listed
Demonstrated domain knowledge of business or industry
Knowledge of agency-side execution process is desirable but not required

Benefits

Comp & perks

Hybrid work arrangement with a minimum of three in-office days per week unless additional days are directed
Opportunities for growth and development
Inclusive teams and talent development
Transformative talent experience focused on community, impact, and opportunity