Associate Director, Data Science

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.

Key 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

Required Skills And Qualifications

• 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

Our culture and working style within the group fosters a positive, productive, entrepreneurial team spirit. We demonstrate a strong working knowledge of media across all channels and are data driven in our approach. We use analytic and technical knowledge to identify the most effective strategies to address our clients' needs. We also work to stay sharp and up to date with our skills and trends in the marketplace that help us bring the best for our clients.

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This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on relevant experience, other job-related qualifications/skills, and geographic location (to account for comparative cost of living). The Company reserves the right to modify this pay range at any time. For this role, benefits include: health insurance, vision insurance, dental insurance, 401(k), Healthcare Flexible Spending Account, Dependent Care Flexible Spending Account, vacation days, sick days, personal days, paid parental leave, paid medical leave, and STD/LTD insurance benefits.

Compensation Range

$90,000-$145,000 USD

This role is hybrid, requiring three (3) days per week in the office. The remaining two (2) days may be worked remotely. Specific in-office days will be discussed during the interview process, with flexibility to align with team needs. Please note that the number or required in-office days may be adjusted over time, potentially increasing the number of required in-office days based on business needs.

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