Data Science Director
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What you'll do
- 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
- 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
What they're looking for
- 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
- A university degree in mathematics, computer science, statistics or related field
- 7-10 years of experience in informatics work in academia, advertising, management consulting, marketing or digital consulting
Nice to have
- Knowledge of agency-side execution process is desirable, but not required
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Agency:
UMJob Function:
Data and AnalyticsJob Subfunction:
Data Science and AIJob Description:
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
$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.
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. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: https://www.omc.com/privacy-notice
For US Job Seekers:
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.
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