Manager, Data Science

Adelphi Group; New York (NY); On-site; USD 50,000 - 95,000; Full time

Job summary

Omnicom's Data Science team delivers advanced analytics and modelling to support client campaigns and decision making. You will collaborate with marketing science teams to translate insights into actionable recommendations.

You will build models, perform analyses, and contribute to client and internal reports while advancing DS practice knowledge across the organization.

Qualifications

• University degree in mathematics, computer science, statistics or related field.
• 3–5 years of informatics/analytics experience in academia, advertising, management consulting or digital marketing.
• Knowledge of digital clean rooms and related concepts. Certifications in Meta/SQL/Python/R are a plus.

Responsibilities

• Build advanced ML models to cluster and segment audiences and deploy to publishers.
• Run descriptive and diagnostic analyses to measure campaign performance in clean rooms and analytics platforms.
• Adhere to deadlines and deliver high-quality work products.
• Leverage coding skills to improve processes and build DS practice decks/reports for clients and internal teams.

Skills

SQL

Python

R

ML techniques

Data visualization

Education

Mathematics/CS/Statistics degree

Job description

Agency:

PHd

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

External facing responsibilities

• 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.)


• Adhere to set deadlines and ensure high quality work product

Internal facing responsibilities

• Leverage technical (coding) skills to help bring about process efficiencies


• 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

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 3-5 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.

#LI-CC2$50,000-$95,000

Company Policy

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.

Why Join Us

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.

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