Manager, Data Science

IPG Health, LLC; Atlanta (GA); Hybrid; USD 90,000 - 110,000; Full time

Job summary

Omnicom Media in Atlanta is seeking a Manager of Data Science to lead advanced ML modeling for audience clustering and segmentation and scale deployments across platforms. You will analyze campaign performance using clean rooms and analytics tools, ensuring timely delivery and high-quality outputs.

Responsibilities include translating findings into decks for internal and client teams, while supporting process improvements and DS knowledge sharing.

Qualifications

• University degree in mathematics, computer science, statistics or related field.
• 3-5 years of informatics/analytics experience in advertising, marketing or digital consulting.

Responsibilities

• Build advanced ML models to cluster and segment audiences and deploy across platforms.
• Run descriptive/diagnostic analyses to measure campaign performance in clean rooms or analytics platforms.
• Prepare decks/reports to translate results for internal and client teams; contribute to DS practice repository.

Skills

SQL

Python

R

ML basics

Education

Bachelor's degree in Mathematics/CS/Statistics

Job description

## Manager, Data ScienceApply: Hybrid: Atlanta, Georgia, United States of America: Full time: Posted Yesterday: R17601**Agency:**Omnicom Media **Job Function:**Consulting **Job Subfunction:**Technology Consulting**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.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 productInternal 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 artifactsRequired 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/industryEducation 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$90,000-110,000*To the extent permissible by local law, 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.* 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.*