Associate Director, Data Science

Omnicom Media Group US•Chicago, IL

7d•$90,000 - $145,000•Hybrid

About The Position

Omnicom Media Group (OMG), the media services division of Omnicom Group Inc. (NYSE: OMC) – delivers transformational experiences for consumers, clients, and talent. Powered by the Omni marketing orchestration system, OMG connects best-in-class capabilities that enable our full-service media agencies OMD, PHD, and Hearts & Science to deliver more relevant and actionable consumer experiences, more productive and proactive client experiences, and more collaborative and rewarding talent experiences for the more than 24,000 people serving the world’s leading brands in OMG agencies around the globe. Team Overview We are a team of engaged, data curious professionals who continuously look for better ways to extract value from complex data. We share ideas, code, outcomes, and accountability, and we place a strong emphasis on collective ownership of our work. We are looking for independent, exploratory data scientists who want to grow with the team and take on increasingly complex challenges. The Data Science team operates within a broader data organization alongside Marketing Science and Data Operations partners. Together, we build scalable analytical solutions that shape the strategic direction of client media and marketing plans through data driven insights. Data scientists collaborate closely to design new utilities, improve modeling methodologies, and analyze a wide range of structured and semi structured data sets. Position Overview As a member of the data science team, you will work with client team strategists, media buyers, other data scientists, and client team leads to create solutions that shape the strategic direction of your client’s marketing plans through data-driven insights. You will collaborate with other data scientists to build new utilities, improve methodologies, and explore a wide variety of datasets.

Requirements

5-7 years of relevant experience
Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields. Advanced quantitative degree is preferred
Proven expertise in SQL and Python; R is optional
Demonstrable experience in AWS computing environments much preferred

Responsibilities

Design and deploy practical data science solutions using rich person level and household level data, including online behavior, transaction history, media exposure, demographics, and financial attributes
Apply advanced analytical techniques such as customer segmentation, clustering, and predictive modeling to translate client first party data and Omnicom Omni+ data assets into analytical frameworks that support planning, targeting, and measurement use cases.
Develop, evaluate, and maintain machine learning models including tree based methods such as XGBoost and random forests for audience definition and performance prediction
Perform exploratory data analysis and feature engineering to assess new data sources and model readiness
Manage projects end to end, from data acquisition and modeling through to validation, documentation, and stakeholder delivery, while operating with limited supervision
Represent data science capabilities and methodologies to internal teams and client partners in clear, business oriented terms
Work with very large data sets across cloud based compute and database environments, with an emphasis on scalability and reproducibility
Leverage modern clean room technologies to enable privacy safe modeling and data collaboration