Associate Director, Data Science

Omnicom Media US OMD•New York, NY

3d•$90,000 - $135,000•Hybrid

About The Position

We are OMD, Cannes Lions 2024 Media Network of the Year, RECMA's Best-Performing Media Network Globally, and COMvergence's #1 Global Agency Network. As the world’s largest media network, with more than 12,000 people working in over 100 countries, we excel at making better decisions, faster. By combining innovation, creativity, empathy, and evidence, we help clients move faster, reach further, and take smarter risks in a world full of opportunities We pride ourselves on being a people-obsessed, outcomes-focused business that applies evidence and data-based solutions, married with the practice of empathy, to drive performance and growth. When working with our clients, we put ourselves in the shoes of the consumer in order to see the world through their eyes. We focus on finding greater empathy with the consumer so as to uncover insights and opportunities that deliver more valued and valuable connections. 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.

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
Some 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)
Demonstrated domain knowledge of business/industry
A university degree in mathematics, computer science, statistics or related field, and 5-7 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting

Nice To Haves

Knowledge of agency-side execution process is desirable, but not required

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.)
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
Contribute to building decks and reports that help translate analytical results to internal and client teams
Contribute to building DS Practice knowledge repository via decks, documents, and other artifacts
Lead and train managers and other junior team members