Associate Director, Data Science

OMD; New York (NY); On-site; USD 70,000 - 135,000; Full time

Job summary

OMD is seeking a Data Scientist to partner with Planning & Investment teams to provide hands-on data science support across the full campaign lifecycle and to build advanced ML models for audience clustering and deployment across platforms. You will run descriptive and diagnostic analyses to measure campaign performance in analytics environments and contribute to process improvements.

The role requires strong programming skills (SQL, Python, R), experience with machine learning, and ability to

Qualifications

• University degree in mathematics, computer science, statistics or related field.
• 5-7 years of informatics/analytics experience in advertising or digital marketing.
• Strong programming and data storytelling capabilities.

Responsibilities

• Partner with Planning & Investment teams to provide hands-on Data Science support across campaigns.
• Build ML models to cluster/segment audiences and deploy across platforms.
• Perform descriptive/diagnostic analyses to measure campaign performance.

Skills

SQL

Python

R

Machine learning

Data analysis

Education

University degree in mathematics, computer science, statistics or related field

Tools

Google ADH

Amazon Marketing Cloud

Job description

Job 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.

Agency

Omd

Job Function

Data and Analytics

Job Subfunction

Data Science and Analytics

Job 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

• Partner with Planning & Investment teams to provide expert hands‑on 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.).
• Strong project management skills with an ability to set priorities, meet deadlines and know when to ask for help.
• Leverage technical (coding) expertise to help bring about process efficiencies.

Internal Facing Responsibilities

• Contribute to building decks and reports that help translate analytical results to internal and client teams.
• Contribute to building DS Practice knowledge repository via decks, documents, and other artifacts.
• Lead and train managers and other junior team members.

Required Skills

• Hands‑on programming language skills (SQL, Python, R, etc.).
• Intermediate exposure to machine learning techniques, causal models, etc. to support the analysis of information.
• Advanced presentation and communication skills.
• Some experience working with non‑technical teams.
• Knowledge of digital clean rooms, and their related concepts and strategy.
• Certifications in any of the following: Meta (Blueprint), SQL, Python, R (online).
• Demonstrated domain knowledge of business/industry.

Education and Experience

A university degree in mathematics, computer science, statistics or related field, and 5-7 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. New York: $70,000.00-$135,000.00

Work Environment

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.

New York: $70,000.00-$135,000.00