Director, Data Science

Description

The company is a global media planning and buying agency network with over 6,000 employees across more than 100 offices worldwide, known for strategy, creative work and planning innovation for large advertisers.

The Data Science team works inside the agency's marketing science group and is tightly integrated with it to meet client business goals.

Data scientists process and combine large first party and third party datasets in data clean rooms from media and advertising platforms, then build predictive models with machine learning and advanced statistics to address audience creation, segmentation, journey mapping, optimization, digital attribution, retention, behavior prediction and cross channel experience.

Responsibilities

• Work alongside Planning and Investment teams as a hands-on and strategic data science partner across the full campaign lifecycle.
• Build machine learning models that cluster and segment audiences, then scale and deploy custom audiences across platforms and publishers.
• Run descriptive and diagnostic analysis to measure campaign performance in clean rooms and other analytics platforms such as Google ADH, Facebook advanced analytics and Amazon Marketing Cloud.
• Help create strategic analytics roadmaps that embed data-driven outcomes into how the company works.
• Use coding skills to make processes more efficient.
• Build and present slides that turn complex analytical results into a clear story for both technical and non-technical audiences.
• Help design and grow the data science practice knowledge repository and hand tasks to junior staff.
• Lead and train direct reports and guide their career progression.

Requirements

• Manage projects well: set and hit goals, meet deadlines and move quickly without sacrificing quality.
• Program hands-on in languages such as SQL, Python and R.
• Apply machine learning techniques and causal models to analyze information.
• Communicate clearly and present with skill to a range of audiences.
• Work effectively with non-technical teams.
• Understand digital clean rooms and the concepts and strategy around them.
• Hold certifications in any of Meta (Blueprint), SQL, Python or R (online). Certifications are listed as a requirement in the posting.
• Bring expert-level knowledge of the business and industry.
• Hold a university degree in mathematics, computer science, statistics or a related field, plus 7-10 years of experience in academia, advertising, management consulting, marketing or digital consulting.
• Knowledge of agency-side execution processes is desirable but not required.

Conditions

Base pay is $160,000.

Where local law allows, you must work in the office at least three days a week, unless your agency or manager requires more office days.

US job seekers: see the location-specific details in the original posting section for US applicants.

Equal opportunity applies.