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Omnicom Media Group US

Associate Director, Data Science

Omnicom Media Group US, Los Angeles, CA


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.

As OMG continues to expand our portfolio of strategic client wins and partnerships, we are excited to be recruiting for positions that will be part of a massive consumer-centric, technology and innovative client we are onboarding!

Team Overview

We are a team of engaged data-curious professionals who continuously seek new and improved ways to learn from our extensive data assets. We share ideas, code, outcomes, and credit for our collective efforts. We're looking for explorative, independent data scientists to grow with us as we tackle ever-changing challenges.

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
  • Translate client requirements into solutions with input from the data science management team
  • Manages their own projects while taking minimal direction from their manager
  • Represent existing data science capabilities to internal and external personnel
  • Develop practical data science solutions using a broad array of rich person-level data such as online behaviors, purchase events, television viewing, demographics, interests, financial data and others
  • Evaluate and manage new data sources by performing exploratory data analysis
  • Manage machine learning utilities to define and project audiences for media deployment
  • Work with very large data in a variety of compute and database environments
  • Use and the latest clean room data science technology

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

$125,000-$150,000 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.

Omnicom Media Group is An Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or veteran status, age or any other federally protected class.

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