Director, Data Science

COMUS Comfluence LLC; United States; On-site; USD 90,000 - 215,000; Full time

Job summary

Omnicom Media is seeking a senior Data Science lead to advance analytics across client campaigns. The Data Science team partners with planning, investment and marketing science to drive business goals with advanced modeling and rigorous measurement.

You will build ML models to cluster audiences, run descriptive analyses in clean rooms and across platforms, and translate complex results into clear narratives for technical and non-technical audiences, while mentoring juniors and shaping the DS

Qualifications

• University degree in mathematics, computer science, statistics or related field.
• 7–10 years of informatics/analytical experience in academia, advertising, management consulting, marketing or digital consulting.
• Experience with data science in an agency context is preferred.
• Certifications in Meta Blueprint, SQL, Python, or R.

Responsibilities

• External facing responsibilities: Partner with Planning & Investment teams to provide expert hands-on and 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.

Skills

SQL

Python

R

ML techniques

Communication skills

Non-technical collaboration

Clean rooms knowledge

Education

Bachelor's or higher in Mathematics/CS/Statistics

Tools

Meta Blueprint

SQL

Python

R

Job description

Agency: Omnicom Media
Job Function: Data and Analytics
Job Subfunction: Data Science and AI

The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients’ business goals.

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

• Hands-on programming language skills (SQL, Python, R, etc.)


• 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.

California: $90,000.00-$215,000.00

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.

Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you.

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