Director, Data Science

Adelphi Group•New York, NY
•Hybrid

About The Position

PHD is a global communications planning and media buying agency network with more than 6,000 employees across over 100 offices. Its Data Science team delivers analytical solutions and media strategies for clients, integrating first- and third-party data in clean rooms and building predictive models to address marketing challenges. The team works closely with marketing science teams to support client business goals. The Director, Data Science provides hands-on and strategic data science support across the campaign lifecycle, develops advanced machine-learning models and analytical roadmaps, and translates complex results for technical and non-technical audiences. The role also helps develop the team’s knowledge repository and leads and trains direct reports. To the extent permissible by local law, Omnicom employees must work in the office at least three days a week unless their agency or manager directs otherwise.

Requirements

  • University degree in mathematics, computer science, statistics, or a related field.
  • 7–10 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.
  • Experience with machine-learning techniques and causal models to analyze information.
  • Advanced presentation and communication skills.
  • Experience working with non-technical teams.
  • Clear understanding of digital clean rooms, related concepts, and strategy.
  • Expert-level domain knowledge of the business or industry.

Nice To Haves

  • Knowledge of agency-side execution processes.
  • Certifications in Meta Blueprint, SQL, Python, or R (online).

Responsibilities

  • Partner with Planning & Investment teams to provide hands-on and strategic Data Science support throughout the campaign lifecycle.
  • Build machine-learning models to cluster and segment audiences, and scale and deploy custom audiences across platforms and publishers.
  • Conduct descriptive and diagnostic analyses to measure campaign performance in clean rooms and other analytics platforms, including Google ADH, Facebook advanced analytics, and Amazon Marketing Cloud.
  • Help develop strategic analytical roadmaps to institutionalize data-driven outcomes.
  • Manage projects by setting and achieving goals, meeting deadlines, and maintaining urgency and executional excellence.
  • Use coding expertise to improve process efficiency.
  • Build and present decks that explain complex analytical results to technical and non-technical audiences.
  • Help design and develop the Data Science practice knowledge repository and delegate tasks to junior resources.
  • Lead and train direct reports and manage their career progression.
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