Director Data Science

Omnicom Media; United States; On-site; USD 145,000 - 175,000; Full time

Job summary

Omnicom Media’s Data Science team leads analytic delivery across client campaigns. You’ll partner with Planning & Investment to provide hands‑on and strategic Data Science support throughout the campaign lifecycle, building ML models to segment audiences and measuring performance in clean rooms and analytics platforms.

You will present findings to both technical and non‑technical audiences, design the DS practice knowledge base, and mentor junior teammates while advancing data‑driven decision

Qualifications

• 7–10 years of informatics/analytics experience in advertising or digital consulting.
• University degree in mathematics, computer science, statistics or related field.
• Knowledge of agency-side execution processes is desirable.

Responsibilities

• Partner with Planning & Investment teams to provide expert and strategic Data Science support across the campaign lifecycle.
• Build advanced ML models to cluster and segment audiences and deploy across platforms.
• Run descriptive and diagnostic analyses to measure campaign performance in clean rooms and analytics platforms.
• Help develop strategic analytical roadmaps to institutionalize data-driven outcomes.
• Demonstrate excellent project management, meet deadlines, and maintain executional excellence.
• Leverage coding expertise to drive process efficiencies.
• Build and present decks translating complex results for technical and non-technical audiences.
• Lead and train junior resources and manage career progression.

Skills

Machine learning

Causal models

Communication skills

Non-technical collaboration

Digital clean rooms

Certifications (Meta Blueprint, SQL, R

Python

Domain knowledge

Education

University degree in mathematics, computer science, statistics or related field

Tools

SQL

Python

R

Job 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.

Responsibilities

External facing responsibilities:

• Partner with Planning & Investment teams to provide expert hands‑on and well as 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

Internal facing responsibilities:

• 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

Required Skills

• 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

Education and Experience

• 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

145000-175000

Omnicom’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.

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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.