Associate Director, Data Science

PHD is a global communications planning and media buying agency network delivering smart strategic thinking and creative innovation for the world’s leading brands. Brilliant media thinking is in our DNA. A culture of thought-leadership, creativity, and innovation has seen us grow from a challenger agency in the UK to a global leader with over 6,000 employees in over 100 offices worldwide. We combine the latest industry insight with the best creative minds to produce planning innovation and create award-winning work for some of the world’s largest advertisers.

Team Overview

At PHD, we provide our clients with powerful and innovative media strategies, along with big ideas that are driven by insights. PHD Data Scientists deliver analytic solutions across a wide variety of client applications and help brands connect better with customers. They process and integrate big data in data clean rooms from media advertising platforms, including first-party and third-party data, and support business insights and growth solutions. Our data scientists build advanced predictive models utilizing machine learning and advanced statistics. They leverage data to address marketing challenges such as audience creation, segmentation, identifying audience journeys, optimization, digital attribution, customer retention, customer behavior prediction, and cross-channel customer experience. The Data Science team is pivotal in the delivery of modern agency services and is 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 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.).
  • Demonstrate strong project management skills with an ability to set priorities, meet deadlines, and know when to ask for help.
  • Leverage technical (coding) expertise to help bring about process efficiencies.
• Internal Facing Responsibilities:
  • Contribute to building decks and reports that help translate analytical results to internal and client teams.
  • Contribute to building the Data Science Practice knowledge repository via decks, documents, and other artifacts.
  • Lead and train managers and other junior team members.

Requirements

• Hands-on programming language skills (SQL, Python, R, etc.).
• Intermediate exposure to machine learning techniques, causal models, etc., to support the analysis of information.
• Advanced presentation and communication skills.
• Experience working with non-technical teams.
• Knowledge of digital clean rooms and their related concepts and strategy.
• Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online).
• A university degree in mathematics, computer science, statistics, or a related field, and 5-7 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.

Pay

$70,000 - $125,000

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, with many agencies already requiring five days of in-office attendance.