Director, Data Science — Hybrid NYC | Lead ML & Strategy

Interpublic; New York (NY); Hybrid; USD 144,000 - 176,000; Full time

Job summary

Omnicom Media in New York is seeking a Director of Data Science to lead advanced analytics initiatives in a hybrid work setting. You will partner with planning and investment teams to develop data-driven campaign insights and scalable ML models for audiences and performance measurement.

The role demands a university degree in a quantitative field and 7–10 years of experience in informatics, advertising, or digital consulting, with strong communication skills and a track record of delivering

Qualifications

• Hands-on programming in SQL, Python or R for data science applications.
• Experience with machine learning and causal models to support analyses.
• Strong presentation and communication skills for cross-functional audiences.
• Ability to work with non-technical teams and explain complex results.
• Familiarity with digital data clean rooms and related concepts.

Responsibilities

• Partner with Planning & Investment teams to provide hands-on and strategic Data Science support across the campaign lifecycle.
• Build and deploy advanced ML models to cluster and segment audiences and scale audiences across platforms.
• Run descriptive analyses to measure campaign performance within clean rooms and analytics platforms.
• Develop strategic analytic roadmaps to institutionalize data-driven outcomes.
• Lead and mentor team members, delivering compelling narratives to diverse audiences.

Skills

SQL

Python

R

Machine learning

Communication skills

Non-technical collaboration

Education

Bachelor's degree in mathematics, computer science, statistics or related field

Tools

Google ADH

Facebook Analytics

Amazon Marketing Cloud

Job description

Omnicom Media in New York is seeking a Director of Data Science to lead advanced analytics initiatives in a hybrid work setting. You will partner with planning and investment teams to develop data-driven campaign insights and scalable ML models for audiences and performance measurement.

The role demands a university degree in a quantitative field and 7–10 years of experience in informatics, advertising, or digital consulting, with strong communication skills and a track record of delivering