Director, Data Science

About the role

PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world’s leading brands. With over 6,000 employees in over 100 offices worldwide, PHD combines industry insight with creative minds to produce planning innovation and award‑winning work. The Data Science team delivers analytic solutions across client applications, processes and integrates big data from first‑party and third‑party sources in data clean rooms, builds advanced predictive models using machine learning and statistics, and addresses marketing challenges such as audience creation, segmentation, journey identification, optimization, attribution, retention, behavior prediction, and cross‑channel experience.

Responsibilities

• 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, and 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.
• Demonstrate excellent project management skills: set and achieve goals, meet deadlines, act with urgency without compromising executional excellence.
• Leverage technical (coding) expertise to drive process efficiencies.
• Build and present decks that provide a compelling narrative to decode complex analytical results for technical and non‑technical audiences.
• Help design and develop the DS practice knowledge repository and delegate tasks to junior resources to support the vision.
• Lead and train direct reports and manage their career progression.

Required Skills

• Hands‑on programming language skills (SQL, Python, R, etc.).
• Experience with machine learning techniques, causal models, etc., to support information analysis.
• Advanced presentation and communication skills.
• Experience working with non‑technical teams.
• Clear understanding of digital clean rooms and related concepts and strategy.
• Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online).
• Expert‑level domain knowledge of business/industry.

Qualifications

A university degree in mathematics, computer science, statistics or a 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.

Pay

$90,000 - $215,000

Schedule

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. The objective is to increase this requirement over time, and many agencies as well as Omnicom’s corporate group already require five days of in‑office attendance.