Director Data Science

Omnicom Media; New York (NY); In loco; USD 130.000 - 160.000; Tempo pieno

Descrizione del lavoro

Omnicom Media seeks a Senior Data Scientist to partner with Planning & Investment teams, providing hands-on and strategic Data Science support across the campaign lifecycle.

You will build advanced ML models to cluster and segment audiences, deploy audiences across platforms, and run analyses in clean rooms and other analytics environments.

Competenze

• 7–10 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
• Knowledge of agency-side execution process is desirable, but not required

Mansioni

• Build advanced ML models to cluster and segment audiences across platforms
• Run descriptive and diagnostic analyses to measure campaign performance in clean rooms and analytics platforms
• Help develop strategic analytical roadmaps to institutionalize data‑driven outcomes
• Excellent project management with ability to set and meet deadlines
• Leverage coding expertise to improve processes
• Build and present decks that decode complex analytical results to technical and non‑technical audiences
• Help design and develop the DS practice knowledge repository and delegate tasks to junior resources
• Lead and train direct reports and manage their career progression

Conoscenze

Machine learning

Communication skills

Cross-functional collaboration

Digital clean rooms

Certifications (Meta, SQL, Python, R)

Domain knowledge

Formazione

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

Knowledge of agency-side execution

Descrizione del lavoro

Responsibilities

External facing responsibilities:

• Partner with Planning & Investment teams to provide expert hands-on and well as strategic Data Science support across the entire campaign lifecycle.
• Build advanced ML models to cluster and segment audiences, scale and deploy custom audiences across various platforms/ publishers
• Run descriptive and diagnostic analyses to help measure campaign performance within clean rooms and/or other analytics platforms (e.g., Google ADH, Facebook advanced analytics, Amazon Marketing Cloud, etc.)
• Help develop strategic analytical roadmaps to institutionalize data driven outcomes
• Excellent project management skills with an ability to set and achieve goals, meet deadlines and act with a strong sense of urgency without compromising executional excellence
• Leverage technical (coding) expertise to help bring about process efficiencies

Internal facing responsibilities:

• Build and present decks that provide a compelling narrative to decode complex analytical results to technical and non-technical audiences
• Help design and develop the DS practice knowledge repository and delegate tasks to junior resources to support vision
• Lead and train direct reports and manage their career progression

Required Skills

• Experienced in machine learning techniques, causal models, etc. to support the analysis of information
• Advanced presentation and communication skills
• Experience working with non-technical teams
• Clear understanding of digital clean rooms, and their related concepts and strategy
• Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online)
• Expert-level domain knowledge of business/industry

Education and Experience

• A university degree in mathematics, computer science, statistics or related field, and 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
• Knowledge of agency-side execution process is desirable, but not required

$130,000 - $160,000

Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager. Our objective is to increase this requirement over time, and many of our agencies as well as Omnicom’s corporate group already require five days of in-office attendance.

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It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.